Profitability of a multi-model manufacturing line versus multiple dedicated lines

被引:8
作者
Dolgui, Alexandre [1 ]
Hashemi-Petroodi, S. Ehsan [1 ]
Kovalev, Sergey [2 ]
Kovalyov, Mikhail Y. [3 ]
机构
[1] IMT Atlantique, LS2N, CNRS, 4 Rue Alfred Kastler, F-44307 Nantes 3, France
[2] INSEEC Univ Res Ctr, INSEEC Grande Ecole, 25 Rue Univ, F-69007 Lyon, France
[3] Natl Acad Sci Belarus, United Inst Informat Problems, Surganova 6, Minsk 220012, BELARUS
关键词
Multi-product manufacturing system; Reconfigurable manufacturing system; Flexible manufacturing system; Dedicated manufacturing lines; Configuration selection; Heuristics; DESIGN; TIMES;
D O I
10.1016/j.ijpe.2021.108113
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We study a problem to decide which of the two manufacturing configurations - multiple dedicated lines or a single multi-model manufacturing line - is economically more preferable for manufacturing products of several types in a given time period. The goal of employing any of the two configurations is to maximize the total profit, subject to the product demand and manufacturing time constraints. The selection problem is reduced to two optimization problems, for one of which a polynomial time algorithm is developed, and NP-hardness is demonstrated for the other. A dynamic programming algorithm, a constructive greedy heuristic, a randomized heuristic and a local search algorithm with steepest ascent hill climbing are presented for the NP-hard problem. Computer experiments with the heuristics, local search algorithm and a commercial solver of the corresponding integer linear programming problem are described, which demonstrated appropriate quality of the heuristic and local search solutions. The proposed methodology and software can be used to evaluate different input data scenarios while making a selection decision between the two manufacturing configurations. The product demand and selling prices, setup and manufacturing times, demand and production cancellations are the parameters that affect the selection decision.
引用
收藏
页数:11
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