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CHAPTER II
LITERATURE REVIEW
2.1 Definition of Inventory
Chase and Aquilano (1995, pg 546) said “Inventory is the stock of any
item or resource used in organization. An Inventory system is the set of
policies and controls that monitors level of inventory and determines what
level should be maintained, when stock should be replenished, and how larger
order should be”.
Inventory has 3 frameworks to complete finish product such as raw
inventory frame work, stock in work process (process) framework, finish
good inventory framework According Arnold, Tony (2007), the component of
inventories includes:
1. Raw material: basic stock item or extracted material that company
made proceeds and transformed into component or products.
2. Components: Combination of Parts to using in building the finished
product.
3. Work in Process (WIP):Part of framework manufacturing that is still
in production process and the product has not complete yet and will
ready to transfer to finished goods inventory.
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4. Finished goods: Finished or completed products that will be
delivered to distributor or customers as product that ready to user or
consumption.
5. Distribution inventory: Finished or complete goods that are at
various points in the distribution system.
6. Maintenance, repair, and operation (MRO) inventory (often
called supplies) Item that are used in process to finish the product but
the items do not become part of complete or finished goods.
The inventory process flow with production management shall be as follows
Figure 2.1: Inventory in Manufacturing Firm
Source: adapted from Johnston, 1998, pg.51
Material Raw
Work in process
Work in process
Work in process
Finished good
Production
Supplier Customer
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2.2 Purpose of Inventory
Inventories are very important to control and manage due to efficient
cost and effective process for the company. According to Martinich (1997,
page659) said “inventories are expensive, they tie up financial resource that
could be used for other purposes and they incur ongoing cost of storage,
handling, taxes and spoilage.” He also mentions that inventories have sign of
more fundamental problems with the production system.
There are four purposes for a company to hold inventory such as:
1. Increase operating efficiency
Operating process can be improvement by spreading fixed cost of
procurement and decoupling of production. Spreading fixed cost has
example if the company buy a large quantity of raw material or
product can distribute fixed cost such as transport, shipping, packaging
and processing rather than buy little quantity of product. Decoupling
of production has means that product or goods that through a frame
work production process can still and should running continue to the
next processing even the previous processing has something occurs.
2. Provide quick response to customer
Quick response to customer is added value to the company by
providing the fast delivery, production and available product
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3. Provide safety against normal business uncertainties
Inventories can be used to reduce risk uncertainties of business such
as has something occurs in machine failures causing stoppages in
production process, delivery problem from supplier, and unexpected
demand from market.
4. Take advantage of unusual price opportunist or protect against
irregular business risks.
For instance, company predictions about increase of raw material
from supplier in short term. Therefore, the Company decides to
storage and buy a raw material with large quantity of lower cost
causing temporary increase in inventory to preventing the increase of
raw material in short term
2.3 Inventory Turnover
Regarding the problem in the increase of inventory turnover, due to
compete with competitor, we should understand about theory and concept of
Inventory Turnover. Inventory turnover is a measurement of how often the
company replaces and sells the inventory in the period. If the company can’t
sell inventory well then the inventory turnover will be low because of
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inventory will pile up at warehouse or contrary. It has to be observed closely
because of inventory turnover ratio is too high, the company is keeping too
little inventory. It will impact of lost profit because customer orders had to
wait until inventory arrived. This ratio should be compared against competitor
or industry averages. A high ratio its mean either ineffective buying or strong
sales. The ration to measure inventory turnover shall be as follow
COGS (cost of goods sold) could be substituted because sales and
inventories usually are recorded at market value, and at cost. Also, average
inventory could be replaced by ending inventory to minimize seasonal factors.
There are several thinks to concern when calculating Turnover ratio:
1. COGS should consider only from stock of sales that filled in
warehouse. Direct shipment and non-stock item are not included and
don’t involve into warehouse
2. COGS formula include transfer stock to the others branch and
quantities product when used for internal purpose
3. Inventory turnover based on cost per item not sales, also inventory
depend on the average of value stock inventory
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4. Average inventory is average inventory in 12 month, also cogs is
average from cogs in 12 month
5. Sales could be calculated from sales per year and Inventory could be
calculated from total inventory per years
Goal of inventory for the company are:
1. Calculate inventory turnover each product or every product line. It will
identify situations wherethe inventory does not provide a good return
on the investment and consider reducing the quantity you usually buys
from the supplier. Inventory turns will improve when you buy fewer
products, more often.
2. Inventory turnover ratio measure how quick inventory could through
the warehouse. Combined with other measurements, such as return on
investment and customer service level, inventory can provide an
accurate of the company success
3. Consider average of gross margin that company receives on the sale of
products. Almost all of distributors with 20 percent up to 30 percent
gross margins should achieve an overall turnover rate of five up to six
turns per year. Distributors with lower margins need higher stock
turnover. If the company has high gross margins, the company can
afford to turn the company inventory less often.
4. Decide turnover rate for fast and slow moving items, for instance a
turnover rate of five turns per year doesn't mean the stock turns
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fivetimes. For fast-moving items should turn more often (up to six
until eight times per year) and Slow moving items may turn twice per
years
2.4 Inventory Related Lead Time
Company viewed that having a lot of quantity inventory causing low
lead time would add cost of the company expenses and so in order to meet the
demand from the customer, Company should forecast the demand.
Fluctuations of the demand market make forecasting will useless. The bigger
lead time then the bigger also of degree confidence in forecasting. The graph
can be seen in Figure 2.2 inventory related with lead time, demand and
variable under uncertain condition. There are two perspectives to see lead of
time:
1. Customer Perspective
The time will be consumed from delivery order in this case when
customer was posting first order until final product
2. Supplier Perspective
The time will be consumed from delivery order until they receive the
cash
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Figure 2.2: Kinds of Inventory Under Condition of Uncertainly
Source: adapted from Johnston, 1998, pg.51
2.5 Inventory Control
Inventory Control is the supervision of storage, supply and
accessibility of items in order to ensure an adequate supply without exceeded
supply or over from demand and forecasting. It can also as internal control an
accounting procedure or system designed can also called Inventory controlling
system, the advantages are data integration, to promote efficiency, or
safeguard assets or avoid fraud and error etc. Inventory controlling system is
used for monitoring in or out of inventory, and write down transaction. Good
inventory control system using computerized (system) or manual have to
following the instruction (Zulfikarijah, 2005, p21-22):
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1. Calculating and Counting Transaction
Inventory system should record accountancy, note write down every
payment and acceptance and inventory management function.
Inventory accuracy has to be majored to avoid inaccurate inventory
data and order.
2. Arranging Inventory Decision
Inventory system can support decision when and how many raw
material or product should be ordered.
3. Reporting on Exception
Inventory system could automatic inventory storage in system, hence
exception will reported to management and could be as decision for
management, the report exception cover inaccurate forecasting,
running out of inventory, too big ordering in purchasing.
4. Forecasting
Decision of inventory and Inventory system can be relied on
forecasting request. There are some technique of forecasting can be
used as qualitative and also quantitative. Decision of inventory doesn’t
only depend and rely on marketing or inventory manager, but
quantitative technique can be included into the system.
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5. Top Management Report
Inventory system can be generated report to controlling and managing
quality of inventory. The report will measure entire stock and
performance of inventory and report to the management to decide the
next decision and making information to create inventory policy. The
report cover: inventory storage, inventory expenses and service of
storage.
2.6 Business Process
Process is begin with internal or external customer expectation and
needs about the product and is completed when the customer satisfied with the
process. According to Manganelli & Klein (1994) “A process is an
interrelated series of activities that convert business inputs into business
output“. According to Davenport & Short (1990) business process is “a set of
logically related tasks performed to achieve a defined business outcome”. The
customer in the process may not be the real customer of the company but
department within the company may be as customer to the other department,
for instance, sales department is customer of the logistic department which
logistic is providing product to send request of customer the company from
sales department. A process could be supporting process to the other process
in business process. Supporting process can process generated service,
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product and information for internal use such as sales and logistic process
assist customer need and expectation. Business processes enable to
reengineering or redesign if the process doesn’t bring value added to the
company and business.
2.7 Business Process Improvement with Six Sigma
Business Process Improvement is a systematic and technique approach
to help a company to optimize its underlying processes to achieve more
effective and efficient results. Before starting a business process
improvement; take a close look at how company will capture measurable
value .Based on (Bisson, Barbara; Folk, Valerie; Smith, Martin,2000.P 58-
63). One of tools to improve the business process is Six Sigma methodology.
Six Sigma is methodology that could improve quality of business process
output through identifying, reducing and removing error in existing business
process and manufacturing. Six Sigma was developed in Motorola in 1986
when Motorola got criticism about bad quality. Six Sigma became well
known in 1995 after Jack Welch use Six Sigma for his business at Generic
Electrical. Some of principal of Six Sigma based on (Pande, 2000,p.15) is:
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Focus on Customer
Needs of customer is priority. System and strategy of business
should notice from customer opinion
Management based on fact and data
The effective measuring system could measure input, process
and output from time to time
Focus on process and improvement
Process in six sigma will documented, communicated, and
measured based on current condition. The Process will
improvement or redesign to keep with needs of business and
customer.
Proactive Management
Practical to anticipate of problem and change with existing fact
and data to get current target
Strong and wide collaboration
Cooperation between internal company with distributor and
customer in chain of business
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Trying to perfect but there is tolerance in failure
Giving free role to each employee to do some research for new
improvement, and risk management, it will get maximum
result related with customer.
Three strategy in implement of Six Sigma (Pande, 2000,p.31) is
Process Improvement
Strategy to define and improvement root of problem or the
strategy can be called continuous improvement.
Process redesign
Creating new design that wills suitable process with needs of
customer.
Management Process
Changing from focus and direction of view to understanding
the function and facilitation of processes that wills deliver
value to customers.
Six Sigma has 5 concepts or phase and the picture that can be seen in
Figure 2.3., the phase of Six Sigma is:
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Define
This step aims to define about needs of customer as standard
organization that have to be produced suitable with needs of
customers
Measure
This step aims to evaluate performance each process compared
with needs of customer that has defined
Analyze
This step aims to analyze cause of deviation from current data
and process
Improvement
This step aims to build an improvement and changes that
oriented on analyze process
Control
This step aims to do control for implementation from
improvement that have done for whole of business activity
company.
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Figure 2.3: The DMAIC Process
Source: www.valuebasedmanagement.net
Six Sigma could be implemented in business process of manufacturing
and service because of both of that area is related each other’s. Benefit of six
sigma will different in each company, as example case is for decrease cost,
improve productivity, decrease time of process goods, and develop product.
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2.8 Role of Technology Information in Manufacturing Industry
Information Technology has important roles in business process
improvement and innovating business process. Davenport (1993a, p. 1) said
that process innovation combines the adoption of a process view of the
business with the application of innovation to key processes.
One of Information technology used in manufacturing for business
process improvement is ERP. “Enterprise Resource Planning system is an
accounting oriented information system for identifying and Planning the
enterprise wide resource needed to take, make ships and account for customer
orders” (Heizer&Render, 2001,p.292). Purposes of ERP are:
1. Synchronize information in real time between all business department
inside company
2. Automation and effective in time
3. Data will integrate between physic and digital data
In this technology era, ERP as one of primary tools to support core
business, cut cost and time, reduce human error and accuracy data, where the
data accuracy is the one strategy issues especially in manufacturing industry.
ERP's scope usually does significant changes to staff work processes.
Implementation time depends on company and business size, number of
modules, department, and customization, the scope of business process and
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process changes, and the readiness of the employee of company to take
ownership for the project. Advantages and Benefit of ERP is:
1. Order Tracking
2. Sales forecasting
3. Revenue Tracking
4. Matching purchase order
5. Chronological history of every transaction
6. ERP can improve efficient and quality of business
7. ERP can be provided as decision making information for management
Based on Journal ERP Enabled Lean Six Sigma : A Holistic Approach
for Competitive Manufacturing (Nauhria, Yugal; Wadhwa, S; Pandey, Sunil.
Global Journal of Flexible Systems Management 10. 3 Jul-Sep 2009): 35-43
).The uncertainty of demand, lead times and inventory control in
manufacturing systems, presence of manufacturing wastes and lack of
systematic approach for solving customer specific problems and customer
satisfaction are the main concerns of competitive manufacturing. Uncertainty
caused by variation in demand and lead times together with lack of accurate
data and available inventory status leads to inefficient materials planning,
master production schedule, leads time and capacity planning. Enterprise
Resource Planning (ERP), Lean Manufacturing and Six Sigma are the three
different strategies concerns for competitive manufacturing. Six sigma
methodologies, DMAIC make improvement process data selected. ERP
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ensures availability of reliable and accuracy data for six sigma DMAIC
improvement process, for supporting and facilitating six sigma analytical
capabilities and statistical process control.
Based on Journal ERP SELECTION USING EXPERT CHOICE
SOFTWARE (Oyku Alanbay Istanbul Bilgi University Kurtulusderesi Cad
No:47)ERPs are preferred because of their organization have wide
information sharing capability, component-based structure, complex business
process, real time and capability to be integrated with other systems to decide
the use of ERP is a complex and tough decision that have made by
management and has significant economic consequences, thus it requires a
multi-criterion approach. Analytic hierarchy process (AHP) is a method
widely used for this kind of complex decision-making problems. The criteria
could be seen in below description.
Figure 2.4 ERP Selection Based on Function and Purpose
Source:Journal ERP SELECTION USING EXPERT CHOICE SOFTWARE
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Based on result conclusion of journal
SAP better than Axapta in Expert choice software
Axapta better than SAP in end user perspective
SAP has same with Axapta in financial and product manager
2.9 Forecasting in Manufacturing Industry
Forecasting is measurement of prediction about future event.
Prediction is a similar, but more general term. Some forecasts are very high
level demand analysis. Based on (Chase and Jacob, 2010 ,pp 520-
548.).Forecast is much related with demand and time, illustrate in Figure 2.5
with type of forecasting time series. Where does the demand come from, and
how can a company to manage it? There are two basic demand, its dependent
demand and independent demand. Depend demand is demand for product
caused by the demand for other product. Independent Demand is demand
cannot be derived directly from other product. Some forecasts are used to help
company to set strategy of how, in an aggregate sense and will meet demand
and usual call strategic forecast. Forecasts are also needed for how firm doing
operation daily, for instance when should inventory for be replenished or how
much production should be produced on schedule next week. These are
tactical forecasts where the goal is to estimate demand in short term. Method
forecasting has 2 approaches, quantitative and qualitative. Qualitative
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approach is subjective and is based on estimates and opinions. Quantitative
approach has casual method and time series method, this method is primary
focus of this thesis. A variety of forecasting methods are available for use
depending on the time frame of the forecast and the existence of patterns.
Statistical techniques that make use of historical data collected over a long
period of time. Methods assume that what has occurred in the past will
continue to occur in the future. Forecasts based on only one factor - time.
Time series have 4 component pattern, and the component pattern are Trend -
A long-term movement of the item being forecast, Random variations -
movements that are not predictable and follow no pattern, Cycle - A
movement, up or down, that repeats itself over a lengthy time span, its
illustrated in Figure 2.5
Figure 2.5 Time Series Component: (a) Trend; (b) Cycle; (c) Seasonal; (d) Trend
w/Season
Source: Introduction to Management Science, Ninth Edition,
Bernard W. Taylor III
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Time series have 3 methods such as moving averages, weighted
moving averages, exponential smoothing. Time frame have 3 range, and there
are Short-range (one to two months), Medium-range (two months to one or
two years), Long-range (more than one or two years).The formula is
Moving averages:
Weight Moving Averages
WMAn =
Where iw = the weight for period i, between 0 % and 100 %
Exponential Smoothing Methods
Ft+1= αDt + (1 – α )Ft
where
Ft+1 = the forecast for the next period
Dt = actual demand in the present period
i periodin data average moving in the periods ofnumber
1
iDn
n
ni iD
nMA
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Ft+1 = the forecast for the next period
Ft = the previously determined forecast
for the present period
a = a weighting factor referred to as the
smoothing constant
Mean Absolute Deviation
The mean absolute deviation (MAD) is one of the most popular and
simplest-to-use measures of forecast error. MAD is an average of the
difference between the forecast and actual demand, as computed by the
following formula:
Mean Absolute Deviation (MAD ) =Average of the sum of the
forecast error
Formula: MAD= (Sum |Dt - Ft|)
n
Where: t = the period number
Dt = the demand in period t
Ft = the forecast for period t
n = the total number of periods
| | = the absolute value
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· The smaller/lower value of MAD, the more accurate the forecast
- One benefit of MAD is to compare the accuracy of several different
forecasting techniques
- MAD is the average, absolute difference between the forecast and
the demand.
Based on Journal Choosing a technological forecasting method
(Levary, Reuven R; Han, Dongchui. Industrial Management 37. 1 (Jan/Feb
1995): 14. ), Situation of Company will affect what should company choose
of technology forecasting method. Technological forecasting methods divided
by
Delphi Method
The Delphi method is a qualitative approach used in
forecasting method counting from timing of future events
Nominal group process
The nominal group process (GNP) is a qualitative forecasting
approach that uses a panel of experts like discussion and
interview to gain the information.
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Growth curve
A technology usually has stage include an initial adoption
stage, a growth stage, a maturity stage and a declining final
stage.
Trend Analysis
Trend analysis is a broad term that encompasses economic
forecasting models and techniques such as regression,
exponential smoothing and Box-Jenkins' ARINA model
Based on situation of independent factor, technology development of
PT MASA is at the middle stage, a moderate amount of low and medium
validity data is available, and the degree of uncertainty surrounding the
success of technological development is medium, exponential smoothing is
advised.
Based on Journal Three simple techniques for improving statistical
forecasts (Bernard, Paul.Production and Inventory Management Journal 38. 4
(Fourth Quarter 1997): 65-70.)Accurate forecasts enable a company to meet
its customer service, inventory turnover, and investment, manufacturing
utilization, operating cost, and other related targets.
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Based on Journal COLLABORATIVE FORECASTING:
GOODYEAR TIRE & RUBBER COMPANY'S JOURNEY Miller, Steven D;
Liem, Krista M.The Journal of Business Forecasting Methods & Systems
23. 3 (Fall 2004): 23-27. Statistical forecasting techniques have long been
used to begin the process of negotiation between production planning and
marketing organizations. Goodyear has made large improvements in the
forecasting process, systems and accuracy. Forecasts were prepared 60 days
ahead, and were weighted by volume for computing average percent error (we
immediately experienced 20% improvement in our forecast accuracy,
weighted by volume through exponential smoothing technique .Good Year
replaced the linear regression models used for SKU level forecasts with single
exponential smoothing model. They also replace their system with SAP R2 as
ERP solution. Tremendous progress was made in forecasting efforts, reducing
forecasting error at a SKU level from 65% in 1993 to 31% in 2003.
Based on Journal Jain, Chaman L. The Journal of Business
Forecasting Methods & Systems, suppl. Benchmarking Forecasting Practices
21. 3 (Fall 2002): 12-17, company should improve their forecast but also the
process itself. Company should benchmarking their own company against the
industry to see whatever their company still in below, at par or above the
industry. Based on survey of Journal on 2007, average of forecast error is 15
% with one month forecast. As result, can be seen in Figure 2.6
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Figure 2.6 Category Level Forecast Errors
Source:Journal Benchmarking Forecasting Process
2.10 Plan Location and Layout
At tire industry, plan location and layout are one of the important
things that it can be Influence Company’s inventory turnover. Facility layout
refers to the arrangement of activities, processes, departments, workstations,
storage areas, aisles and common areas within an existing or proposed facility.
Layout has two kinds basic are:
Process layouts, also known as functional layouts, group
similar activities together in department or work centers
according to the process or function they perform.
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Product layouts, better known assembly lines, arrange
activities in a line according to the sequence of operations that
need to be performed to assemble a particular product.
Managing the supply network is all about understanding demand and
cost drivers to manage tradeoffs, constraints and time. By focusing on daily
forecasting for each SKU and location and optimizing material flow and
processes across the entire supply network, companies can implement
strategies for operations excellence that leverage their competitive advantages
for profitable growth and increased shareholder value.
Based on Journal Strategic logistics decision making Wanke, Peter F;
Zinn, Walter. International Journal of Physical Distribution & Logistics
Management34. 6 (2004): 466-478.Decentralized inventory affect by variable
and it is cost density, coefficient of variation of sales, inventory turnover and
delivery time. The lower the cost density, the higher the pressure to keep
transportation unit costs low (Amstel and Amstel, 1985). Freight
consolidation, which spreads transportation fixed costs, can be achieved
through inventory decentralization (Carter and Ferrin, 1996). The impact of
freight consolidation on the time interval between two consecutive
replenishments, and therefore on inventory turnover, should also be
considered (Jayaraman, 1998). Inventory turnover tends to be lower if freights
are consolidated. On the other hand, higher inventory turnover could lead to
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inventory decentralization since it indicates that the replenishment is attuned
to demand variation. Shorter delivery times could also lead to inventory
decentralization if the transportation mode remains the same (Bowersox and
Closs, 1996). The coefficient of variation of sales impacts on inventory
centralization decisions.
Based on Journal The impact of routing and storage policies on
warehouse efficiency(Petersen, Charles G, II. International Journal of
Operations & Production Management 19. 10 (1999): 1053-1064),to
improve effectiveness of plant lay out warehouse, they have 2 point and they
are storage policy performance and the routing. This journal will evaluate
routing heuristic and an optimal routine based on volume-based and random
storage environment; compare the performance of volume-based storage to
random storage; and examine the impact of speed of picking rates on routing
and storage policy performance. Storage policies based on volume based
storage, usually high volume items storage location closed to the p/d point,
because the demand is known with certainly. The advantages of volume based
storages are the reduction distance and time travel. The disadvantages of
volume based are an unbalanced utilization of the warehouse and aisle
congestion. Random storages is different approach from volume based
storage, random storages assigned a single location for the entire planning
location. The advantages are reduced aisle congestion and the uniform
utilization of the warehouse. The disadvantage is longer travel times from
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having to traverse the entire warehouse. Routing policies determine the route
of a picker for a picking tour, specifically the sequence in which items are to
be picked.
Based on Journal improving order-picking performance through the
implementation of class-based storage (Petersen, Chales G; Aase, Gerald R;
Heiser, Daniel R. International Journal of Physical Distribution &
Logistics Management 34. 7/8 (2004): 534-544.), We get effective
warehouse layout from Class bases storage (CBS) and can be seen in Figure
2.7, Class-based storage (CBS) into storage classes by randomly and demand
assigns storage locations within each storage class area.
Figure 2.7 Example of Lay out CBS
Source:Journal of Physical Distribution & Logistics Management
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The effectiveness to reengineering and improve of facility plant layout
can be seen in journal Improving Order-Picking Response Time at Ankor's
Warehouse(Dekker, R; M B M de Koster; Roodbergen, K J; H van Kalleveen.
Interfaces 34. 4 (Jul/Aug 2004): 303-313.) Because of policy storage
assignment and routing for Ankor situation, the effective cut the average route
length in the order-picking operation by 31 percent and reduction in the
number of order pickers of more than 25 percent.
2.11 Consistency Lead Time
Plant Location will be affected the delivery performance to
distributor.Consistency Lead time order to fulfill request of distributor is
important if PT. MASA doesn’t want to lose of the customer. Based on
inventory matrix for delivery performance,
1. Benchmarking Fill rates
Benchmarking fill rates for delivery SLA in one year is 96 %
until 100 %.
2. Order entry lead time
Measures the time taken to take customer order is one day or
less (If have online ordering)
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3. Order entry accuracy
Measures the accuracy with which a customer order is
maintained in a database. The benchmark of human error is set
at about 0.1%
2.12 Human Resource
Based on Journal the Impact of Lean practice on inventory turnover by
Snell, Scott A; Dean, James W, Jr. Academy of Management (Aug 1992)
Inventory turnover is a ratio that many organizations strive to optimize. High
turnover in a company affected by capital in raw materials (RM), work-in-
process (WIP) or finished goods (FG).Goals of LM (Lean Manufacture) is to
reduce excess inventories as a form of waste, as well as reduces
overproduction.
There are four factor generally used in LM, which include Just in
Time (JIT), total quality management (TQM), total productive maintenance
(TPM) and human resource management (HRM), (Demeter, 2011, p. 156).
TQM, TPM, and JIT all share similar goals such as continuous improvement
and waste reduction, and it has been known from previous studies that
implementing joint application of bundles such as JIT and TQM increase
quality standards and productivity more than one of these alone. It is also
known that bundling HR practices with any of these manufacturing practices
leads to a better performance, (Demeter, 2011, p. 156).
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Figure 2.8 Lean Manufacturing Factors
Source: The Impact of Lean Practice on Inventory Turnover
Human Resource management practices are the primary means by
which firms invest in their employees (cf. Cascio, 1991). Different
characteristics of human resource management practices reflect different
levels of investment in human capital. Based on case above,Hypothesis based
on Journal Integrated Manufacturing and Human Resource Management: A
Human Capital Perspective (Snell, Scott A; Dean, James W, Jr. Academy of
Management Journal35. 3 (Aug 1992): 467), Journal the Impact of Lean
practice on inventory turnover has hypothesis regarding human resource, they
diversification regarding selective staff, training staff, appraisal and reward.
The results of Hypothesis are:
The interactive effects of integrated manufacturing practices (AMT, JIT,
TQ) are positively related to theselectiveness of staffing
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The interactive effects of integrated manufacturing practices (AMT, JIT,
TQ) are positively related to the comprehensiveness of training
Facets of integrated manufacturing (AMT, JIT, TQ) are positively related
to developmental performance appraisal.
Facets of integrated manufacturing (AMT, JIT, TQ) are positively related
to externally equitable rewards.
2.13 Distribution Channel
Based on Journal Distribution deluxe: Canadian Tire’s showcase
distribution centre delivers the goods (Material Management and Distribution
38. 10 (Oct 1993): 59-60), Monitors the distribution center and the product it
contains with help from a sophisticated inventory forecasting model, an IBM
mainframe software package called Inform II. It tracks regular merchandise,
generating orders with the appropriate lead time for the company's various
suppliers. But within the corporation it is nevertheless only part of a far
reaching logistics project that has a staff of 30, including several senior level
managers, committed full time to lowering the total enterprise cost of getting
products from source to consumer. Strategies include a variety of programs
designedin conjunction with vendors and dealers to reduce collective
inventory and lead times, and improve service quality.
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For example, the forging of strategic alliances will permit
Canadiantireto share retail information with preferred vendors, helping
vendors schedule production to actual consumer demand. For high - activity
products, this will allow vendors to prepare shipment that meet store
requirements, and either ship direct to stores, or schedule orders into the
distribution centers to mesh with shipping schedules and thus facilitate trans-
shipment of the goods.
Management sees no serious conflict in fielding one team to build a
mega distribution center and another team charged with circumventing the
distribution center altogether. By common agreement, the ultimate goal is to
get product on the sales floor at the lowest possible cost. The distribution
center should be seen as a dynamic resource, rather than a static building with
fixed equipment.
Buyers and logistics managers have had great success prodding
vendors to put UPC bar codes on merchandise. The small cost of
incorporating bar codes in consumer package artwork, or of applying them at
the point of manufacture, generates enormous savings at the distribution
centers and the stores.
The logistics team has also examined in - store operations with a view
to getting more merchandise out where the customer can buy it, while using
less labor to get it there, and still maintaining a pleasant shopping
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environment. One result is the placement of product above product displays
inthe store. This can reduce the size of stockrooms, and puts product where
the customer can see it.