Integrated scheduling of a multi-product multi-factory manufacturing system with maritime transport limits

Sun, Xuting; Chung, Sai Ho; Chan, Felix T. S.

doi:10.1016/j.tre.2015.04.002

Cited by 40 publications

(9 citation statements)

References 56 publications

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“…It will be also promising to explore the contract design and coordination of MC supply chain (Shen and Li, ; Sarkar et al., ), it is important and necessary to coordinate initial cash positions and/or loan amounts among supply chain parties. Last but not the least, other issues such as the cases with multiple suppliers (Sun et al., ), the effects of disruption risk (Wang and Sun, ), and the variability of payments to suppliers and its impact (Serrano et al., ) can be explored in the future.…”

Section: Resultsmentioning

confidence: 99%

Influences of supply chain finance on the mass customization program: risk attitudes and cash flow shortage

Guo

Liu

2019

Int Trans Operational Res

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In recent years, to satisfy diversified customer needs in the target market, an increasing number of brands have launched mass customization (MC) programs as one of their core operations strategies. The production process flexibility and personalization degree of customized products (i.e., the MC products) have thus become key to the success of MC schemes. In the meantime, however, considering the high market uncertainty in consumer preferences and the challenges from the production process, there are plenty of risks in MC operations. Hence, in this paper we develop a game-theoretic model consisting of an MC brand and an upstream manufacturer to identify the influences of supply chain finance (SCF) on MC programs. The influences brought by the risk attitudes of both MC brand and manufacturer are analyzed. Besides, an extra interest rate for raising the working capital for production (e.g., from the bank) at the manufacturing level is also considered in this paper to address the impact of cash flow shortage. We find that when the positive sensitivity of the market demand with respect to the modularity level of the MC product is sufficiently high, the optimal product modularity level of the MC product increases with the MC brand's degree of risk averse. In addition, it can also be observed that when both the market demand's positive sensitivity to the modularity level of the MC product and the MC brand's opportunity cost rate for placing the advance order are sufficiently high, any increase in the risk-averse degree of the MC brand or the manufacturer will lower the manufacturer's optimal wholesale price of the MC product as well as the MC brand's optimal rate of the advance order. Furthermore, the higher the interest that the manufacturer needs to pay (such as to the bank) for raising the working capital for the MC production process, the lower the optimal wholesale price of each finished MC product will be to help the manufacturer raise more money through the advance order placed by the MC brand. These observations complete the findings in the extant literature and provide important managerial insights into managing MC operations.

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Section: Resultsmentioning

confidence: 99%

Influences of supply chain finance on the mass customization program: risk attitudes and cash flow shortage

Guo

Liu

2019

Int Trans Operational Res

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“…To the best of our knowledge, the single paper for the integrated scheduling of production and distribution problem in a multifactory environment with a make-to-order production system is proposed by Sun et al [16]. They considered MIPDSP for a particular supply chain with two different transportation modalities: inland and maritime transportation.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm

et al. 2018

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This paper discusses the integrated scheduling of production and distribution operations in a multifactory supply chain with make-to-order production system. For the production side of the supply chain, we considered distributed parallel-established factories with identical parallel machines available at each factory. We assumed that the factories could produce all customers’ orders with different production rates and costs. For the distribution side of the supply chain, we considered a limited number of homogeneous vehicles that immediately distribute the finalized orders to the customers. Then, a mixed-integer nonlinear programming model is developed to determine the detailed scheduling of production and distribution that minimizes the total costs of the supply chain including production, distribution, and late delivery costs. To solve the real-world scale problems, we developed a new whale optimization algorithm (WOA). Moreover, we conducted computational experiments by generating several test problems to evaluate the proposed algorithm. Statistical analysis showed that the proposed algorithm has better performance than traditional WOA for different scales of the problem. Moreover, it confirms the capability of the improved whale optimization algorithm (IWOA) to solve the medium-scale instances; however, the results indicate the better performance of genetic algorithm (GA) for the large-scale instances.

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“…Total quantities of cassava in different areas (i) transported to the purchasing centers (j) by truck transportation modes by 4-wheel truck, 6-wheel truck and semi-trailer (10 wheels). In the distribution part, we consider many different transportation types as Sun, Chung, and Chan (2015) whereby the overall weights shall not be excessive from the point of origin. W means cassava transportation modes from the points of origin in different areas, maximum weight limit and cost per unit.…”

Section: Decision-making Model Was Built Under Conditions Of Quantitimentioning

confidence: 99%

Designing the distribution network in a cassava supply chain in Thailand

Timaboot¹,

Suthikarnnarunai²

2017

MBR

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According to Thailand's infrastructure development and investment plan, an efficient transportation network will take form over the next three to five years. Dual-track railway will be built to cover more areas of the country and will be offered more routes between central, northeastern , and eastern Thailand. Therefore, rail transportation or train transportation will become a good choice or an important conveyance of goods from various origins to various destinations in Thailand due to its competitiveness which is low cost of freight. This paper presents a concept of designing the new distribution network in Thailand using rail as a major mode of transportation. Cassava distribution chain is selected as a case study and prototype of this new design, since Thailand is an agricultural country and cassava is one the most exported agricultural product. Various factors influencing the choice of distribution network and transportation mode, such as customer satisfaction, characteristics of products, cost, etc., are investigated and are described. Linear programming models represent the current distribution model and the new distribution model are presented and then solved by Microsoft Excel with Open Solver Software. The result reveals that the new distribution network of cassava product in Thailand can lower the total distribution cost up to 51.63% compare to the current distribution network.

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Integrated scheduling of a multi-product multi-factory manufacturing system with maritime transport limits

Cited by 40 publications

References 56 publications

Influences of supply chain finance on the mass customization program: risk attitudes and cash flow shortage

Influences of supply chain finance on the mass customization program: risk attitudes and cash flow shortage

A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm

Designing the distribution network in a cassava supply chain in Thailand

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