scholarly journals Type-II Fuzzy Multi-Product, Multi-Level, Multi-Period Location–Allocation, Production–Distribution Problem in Supply Chains: Modelling and Optimisation Approach

2018 ◽  
Vol 10 (2) ◽  
pp. 260-283 ◽  
Author(s):  
Sarah J.-Sharahi ◽  
Kaveh Khalili-Damghani ◽  
Amir-Reza Abtahi ◽  
Alireza Rashidi-Komijan
Keyword(s):  
Supply Chains ◽  
Type Ii ◽  
Distribution Problem ◽  
Location Allocation ◽  
Production Distribution ◽  
Multi Level

scholarly journals Designing the Analytical Base for Optimal Allocation of Stocks in Supply Chains

2018 ◽  
Vol 19 (4) ◽  
pp. 346-355 ◽  
Author(s):  
Lukinskiy Valery ◽  
Lukinskiy Vladislav
Keyword(s):  
Supply Chains ◽  
Inventory Management ◽  
Distribution System ◽  
Distribution Systems ◽  
Optimal Allocation ◽  
Point Of View ◽  
Efficiency Increase ◽  
Multi Level ◽  
Key Aspects ◽  
Management Issues

Abstract The carried out studies show that from the point of view of the issue of efficiency increase of logistical systems, there are several key aspects. Firstly, choice of methods for managing the triad of logistics functions ‘inventory management - warehousing – transportation’, where the inventory management issues are considered as the most relevant ones. Secondly, there is recognized the need to move the studies of multi-level systems within the framework of the concept of supply chain management. Nowadays, supply chains, which are represented by the distribution system, are widespread in practice. The most common of them are two-level ones with a central supplier at the second level and a certain number of companies at the first level; and multi-level systems of the distribution configuration network in which multi-nomenclature stocks are located. The article is devoted to the design and enhancement of analytical platform for inventory management in such distribution systems.

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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