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Design of a Two-tier Supply Chain Based on Integration, Pricing, Routing, and Inventory Control
Aruzhan Jussibaliyeva,Ius Rusnati,Aan Komariah,Aigul Kurmanalina,Nikolay N. Reutov,Gulnar Temirgaliyevna Kunurkulzhaeva,Alim Al Ayub Ahmed,Ravil Akhmadeev,Supat Chupradit 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
This paper integrates decisions about the three key components of the supply chain including pricing, routing and inventory control, and multi-product multi-cycle in a two-tier supply chain; includes a manufacturer and a collection of dedicated retailers. In addition to pricing, inventory management and distribution planning, production planning is also considered in the study. The goal is to maximize profits in the supply chain, where products are delivered to retailers by a fleet of limited-capacity identical vehicles under a multiple-delivery strategy. Also, limited production and storage capacity and unauthorized shortages are assumed. The proposed model will then be solved using CPLEX software package in GAMS environment and genetic algorithm in Matlab software to determine the optimal supply chain policy.
A New Hybrid Algorithm for the Resource Constraint Project Scheduling Problem
Rashank Jain,Asim Husain,Aruzhan Jussibaliyeva,Kenzhegul Khassenova,Nurgul Shamisheva,Gulnara Sagindykova 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.3
In today’s competitive environment, projects must be implemented at a lower cost and in less time, and resources must be used optimally. Therefore, project management and scheduling using an efficient tool is a necessity. Resource constraint project scheduling (RCPSP) is one of the most widely used project planning issues. One of the most difficult non-polynomial problems is that innovative and meta-heuristic methods are more effective than exact solutions. The current study mainly aims to introduce a new meta-innovative algorithm with an imperialist competitive algorithm and genetic algorithm (ICA-GA) . Next, by proposing a two-objective project scheduling problem, it is attempted to minimize the project execution time and its cost simultaneously with the proposed algorithm. Finally, to assess the validity of the ICA-GA hybrid algorithm, the famous MOPSO algorithm in solving the proposed model is utilized. The evaluated data is extracted from the PSPLIB standard library. The study’s results demonstrate that the imperialist-genetic competition algorithm is superior to the MOPSO algorithm and holds high efficiency in solving the proposed model.