safexpress report - 2016
Transcript of safexpress report - 2016
![Page 1: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/1.jpg)
Bi-objective optimization of supply chain usingLingo and NSGA II
Submitted by Nerella Arudhra
Submitted toGIBS, Delhi
![Page 2: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/2.jpg)
Objectives
1. Identification of various operations taking place in warehouse.
2. Maximization selection of suitable supplier
3. minimization of total transportation cost throughout the supply chain
![Page 3: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/3.jpg)
Introduction
• Recent advancement of technology and cultural changes are influencing the supply chain design.
• Logistics industry in India is an industry that has not achieved its much deserved attention or recognition.
• the Indian economy along with the influx of new companies in sectors that was otherwise unknown.
• Estimated at a value of $14 billion US dollars this industry is slated for another 9% to 10% growth in the years to come.
• Supplier selection is an important concern of a firm’s competitiveness, more so in the context of the imperative of supply-chain management.
![Page 4: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/4.jpg)
Different tires of logistics include• 1PL – Shipper
• 2PL – Traditional Transportation Provider
• 3PL – Integrated Logistics Service Provider
• Out sourcing of logistics services that are to be performed in house of the organization. Where 3PL is gaining more importance in India as logistics being emerging business.
• 4PL – High Level Logistics/IT Consulting
• The consulting service which integrates technology, capabilities and resources of own organization with other organization to design, build and run comprehensive supply chain solutions.
• 5PL – Consulting for the High Level Logistics/IT Consultants
• 6PL – Artificial Intelligence Driven Supply Chain Management
• 7PL – Autonomous Competitor Created to Test Alternative Supply Chain Strategies
• 8PL – Super Committee Created to Analyze Competitor’s Results
• 9PL – Crowd Sourced Managed Logistics Strategy
• 10PL – Supply Chain Becomes Self Aware and Runs Itself
![Page 5: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/5.jpg)
Supply Chain – Safexpress Indore warehouse
![Page 6: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/6.jpg)
Warehouse operations
1 – 6: Local Delivery 39 – 41: 3PL
7 – 38: Fast Lane area 42 – 46: FTL (Transoultion)
![Page 7: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/7.jpg)
Booking of Consignment
Receiving order details and
conformationTran
sship
men
t
Transsh
ipm
ent
Customer Request
ViaPhone, email,
portal, EDI (Electronic Data
Interface)
TransshipmentYesAcceptance
Rejected
Pick up of freight
Delivering to Respective HUB/ Dock
Local Booking Office (Consolidation, Packaging,
Documentation, etc.)
Delivering to Respective HUB/ Dock
Notification of Terms & condition; Taking note of
necessary details
(No.of Packages; Weight; Special Instructions)
Route PlanTaking Vehicle To Customer
Booking Kit usageDeclaration
Remain documents (Invoice, etc.…)Packing Checking
Loading into Vehicle
![Page 8: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/8.jpg)
Problem Discerption
1 1 1
1
objective function
1 (1)
2 * * (2)
subjected to constraints
1
n n n
i i i i i i
i i i
SJ SJ JI JI
S J J I
n
i
i
f PX Q X D X
f T Q C Q
X
1
(3)
(4)
i = 1,2.........n (5)
i = 1,2.........n
n
i
i
i i i
i i i
Y h
X U Y
X l Y
(6)
0 i = 1,2.........n (7)
0,1 i = 1,2.........n (8)
(9)
i
i
SJ JI
S
SJ
X
Y
Q Q J
Q SUP
S (10)S
J
Maximization of supplier selection
Minimization of transportation cost
Total order of supplier is varied
Supplier is in the portfolio
![Page 9: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/9.jpg)
Classical NSGA II algorithm
• we considered a multi-objective NSGA-II togenerate optimal solutions.
• As NSGA differs fromwell-known simple geneticalgorithm is only in the waythe selection operatorworks.
![Page 10: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/10.jpg)
Lingo
• LINGO is a simple tool for utilizing the power of linear and nonlinearoptimization to formulate large problems concisely, solve them, and analyze thesolution.
• Optimization problems are often classified as linear or nonlinear, depending onwhether the relationships in the problem are linear with respect to the variables.
![Page 11: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/11.jpg)
Lingo
![Page 12: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/12.jpg)
Results and discussion - Lingo
![Page 13: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/13.jpg)
Results and discussion – NSGA II (MATLAB)
The Pareto optimal solutions of theconsidered two performancemeasures such as supplier selectionand transportation cost with theclassical NSGA-II
![Page 14: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/14.jpg)
Conclusion and future work
• In this era of crumbling economic barriers, the customer reigns supreme. The focustoday is not on meeting the customer’s expectations, but on exceeding them.
•
• The strategic role of logistics and supply chain management in this regard becomes vital.
• There have been changes in the logistics organizational structure from being a part ofvarious functions like manufacturing, finance, and marketing to a core function.
•
• Further work may include generation of hybrid algorithms to solve on more problemswith many performance measures that affect the system.
• Therefore considering the GST on logistics and including environmental concern factorsin the objective function.
![Page 15: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/15.jpg)
Suggestions
• Usage of 4 way pallet for the better movement of pallet along the bay and usage of
worker effectively.
• Recognition of pallet to the suitable destination bay (i.e. each bay is allocated to
particular city with a particular strategy) with the color coding of pallet and
boarding. This makes easy understanding for the worker.
• Suggest proper analytical tools for enriching of data, including and planning the
future objectives that decreases the carbon foot print.
![Page 16: safexpress report - 2016](https://reader034.fdocuments.us/reader034/viewer/2022042506/5876c5c91a28ab6d5a8b5d1b/html5/thumbnails/16.jpg)
References
• Farahani, Reza Zanjirani, and Mahsa Elahipanah. "A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain." International Journal of Production Economics 111.2 (2008): 229-243.
• Yeh, Wei-Chang, and Mei-Chi Chuang. "Using multi-objective genetic algorithm for partner selection in green supply chain problems." Expert Systems with applications 38.4 (2011): 4244-4253.
• Amodeo, Lionel, Haoxun Chen, and Aboubacar El Hadji. "Multi-objective supply chain optimization: An industrial case study." Workshops on Applications of Evolutionary Computation. Springer Berlin Heidelberg, 2007.
• Serrano, Víctor, Matías Alvarado, and Carlos A. Coello Coello. "Optimization to manage supply chain disruptions using the NSGA-II." Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. Springer Berlin Heidelberg, 2007. 476-485.
• Srivastava, Samir K. "Logistics and supply chain practices in India." Vision: The Journal of Business Perspective 10.3 (2006): 69-79.
• Adhikary, Anindita, and Bedanta Bora. "Supply Chain Challenges in India: An Empirical Insight." The International Journal of Business & Management 2.4 (2014): 31.