Supply chain scheduling in a collaborative manufacturing mode: model construction and algorithm design

Liang Tang (), Zhihong Jin, Xuwei Qin and Ke Jing
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Liang Tang: College of Transportation Engineering, Dalian Maritime University
Zhihong Jin: College of Transportation Engineering, Dalian Maritime University
Xuwei Qin: Northeastern University
Ke Jing: Dalian Maritime University

Annals of Operations Research, 2019, vol. 275, issue 2, No 19, 685-714

Abstract: Abstract In collaborative manufacturing, the supply chain scheduling problem becomes more complex according to both multiple product demands and multiple production modes. Aiming to obtain a reasonable solution to this complexity, we analyze the characteristics of collaborative manufacturing and design some elements, including production parameters, order parameters, and network parameters. We propose four general types of collaborative manufacturing networks and then construct a supply chain scheduling model composed of the processing costs, inventory costs, and two penalty costs of the early completion costs and tardiness costs. In our model, by considering the urgency of different orders, we design a delivery time window based on the least production time and slack time. Additionally, due to the merit of continuously processing orders belonging to the same product type, we design a production cost function by using a piecewise function. To solve our model efficiently, we present a hybrid ant colony optimization (HACO) algorithm. More specifically, the Monte Carlo algorithm is incorporated into our HACO algorithm to improve the solution quality. We also design a moving window award mechanism and dynamic pheromone update strategy to improve the search efficiency and solution performance. Computational tests are conducted to evaluate the performance of the proposed method.

Keywords: Collaborative manufacturing network; HACO algorithm; Supply chain scheduling; Monte Carlo; Moving window (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10479-018-2976-y

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