An integrated model for an industrial production-distribution problem

2001 ◽  
Vol 33 (9) ◽  
pp. 705-715 ◽  
Author(s):  
CLARISSE DHAENENS-FLIPO ◽  
GERD FINKE
Keyword(s):  
Industrial Production ◽  
Integrated Model ◽  
Distribution Problem ◽  
Production Distribution

scholarly journals Development and Application of Multi Commodity Multi Location Integrated Model for Manufacturing Industry

2022 ◽  
Vol 10 (5) ◽  
pp. 32-40
Author(s):  
Adedeji Kasali Aderinmoye ◽  
◽  
Segbenu Joseph Zosu ◽  
Duduyemi, Oladejo Samuel ◽  
Oyetunji Elkanah Olaosebikan ◽  
...  
Keyword(s):  
Linear Programming ◽  
Manufacturing Industry ◽  
Transportation Cost ◽  
Integrated Model ◽  
Distribution Model ◽  
Production Distribution ◽  
The Difference

This paper presented the development and application of Linear Programming to the modeling of Multi-Commodity Multi-Location production-distribution model for manufacturing industry. The Manufacturing industry has two plants, three depots and twenty retailer’s axis in Lagos. The products are based on how they are packaged; Product 1(P1), Product 2(P2), Product 3(P3) and Product 4(P4). TORA software is used in analyzing the data obtained from the company. Comparing the optimal Multi-Commodity Multi-Location transportation cost of One trillion, Five Hundred And Thirty Billion And Four Hundred And Ninety Million Naira to existing transportation cost of truckload Three Trillion, Five Hundred And Forty Four Billion Naira, the difference is Two Trillion, Thirteen Billion And Five Hundred And Ten Million Naira which is Four Hundred And Two Billion And Seven Hundred And Two Million Naira annually resulting to 56.82 percent gain in profit.

A Memetic Algorithm for Integrated Production Distribution Problem in a Supply Chain

2021 ◽  
pp. 198-224
Author(s):  
Nihan Kabadayi
Keyword(s):  
Supply Chain ◽  
Memetic Algorithm ◽  
Real Life ◽  
Data Sets ◽  
Distribution Problem ◽  
Setup Cost ◽  
Integrated Production ◽  
Holding Costs ◽  
Life Problems ◽  
Production Distribution

Supply chain is a complex system in which most of the activities are inter-related, and changes in one of these activities can affect the performance of the other processes. Thus, integrated management strategies in a supply chain can yield considerable advantages throughout the system as supply chain members and customers become more integrated. In this study, a memetic algorithm is proposed to solve the integrated production-distribution problem. The objective of the problem is to find optimal production quantity, customer delivery quantity, and schedule to minimize the total system cost, which is composed of production setup cost and variable production cost, inventory holding costs, and distribution cost. The effectiveness of the proposed algorithm is tested on the existing data sets. According to test results, the proposed algorithm is a very effective method to solve integrated production-distribution problems. To assess to benefits and applicability of the method on the real-life problems, a case study is conducted in a Turkish water manufacturing company.

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