Supply Chain Coordination via Additive Manufacturing

2022 ◽  
Vol 243 ◽  
pp. 108318
Author(s):  
Mohammad E. Arbabian
2021 ◽  
pp. 109634802199679
Author(s):  
Xiaofeng Zhao ◽  
Jianrong Hou

Tourism supply chain management has become an important research topic as individual firms no longer compete as isolated entities but rather as supply chains in the tourism industry. Despite the evidence that benefits can be gained to improve profitability, competitiveness, and customer satisfaction, the research on how to manage the tourism supply chain is very limited. This research contributes to the literature by applying the theory of constraints (TOC) with systems thinking to tourism supply chain management. It proposes that the key issue in tourism supply chain management is the coordination of business activities and the TOC with systems thinking can effectively support tourism supply chain coordination of the various links and processes. The article examines the TOC performance measures and the drum–buffer–rope model in the context of tourism management and applies the focusing process of the TOC as a continuous improvement approach for tourism supply chain management. The research findings suggest that, given modifications to the TOC terminology and the principles, the TOC principles can work as an excellent approach to facilitate the tourism supply chain management.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Huan Zhang ◽  
Yang Liu ◽  
Jingsi Huang

Supply chain coordination models are developed in a two-echelon supply chain with double sided disruptions. In a supply chain system, the supplier may suffer from the product cost disruption and the retailer suffers from the demand disruption simultaneously. The purpose of this study is to design proper supply chain contracts, under which the supply chain with double sided disruption can be coordinated. Firstly, the centralized decision-making models are applied to find the optimal price and quantity under three cases as the baseline. The different cases are divided by the different relationship between the product cost disruption and the demand disruption. Secondly, two different types of contracts are introduced to coordinate the whole supply chain. One is all-unit wholesale quantity discount policy (AQDP) contract, and the other one is capacitated linear pricing policy (CLPP) contract. And it is found out that the gap between the demand disruption and the product cost disruption is the key factor to influence the supply chain coordination. Some numerical examples and sensitivity analysis are given to illustrate the models. The AQDP contracts are listed out under different cases to show how to use it under double sided disruptions.


Author(s):  
Ardeshir Raihanian Mashhadi ◽  
Sara Behdad

Complexity has been one of the focal points of attention in the supply chain management domain, as it deteriorates the performance of the supply chain and makes controlling it problematic. The complexity of supply chains has been significantly increased over the past couple of decades. Meanwhile, Additive Manufacturing (AM) not only revolutionizes the way that the products are made, but also brings a paradigm shift to the whole production system. The influence of AM extends to product design and supply chain as well. The unique capabilities of AM suggest that this manufacturing method can significantly affect the supply chain complexity. More product complexity and demand heterogeneity, faster production cycles, higher levels of automation and shorter supply paths are among the features of additive manufacturing that can directly influence the supply chain complexity. Comparison of additive manufacturing supply chain complexity to its traditional counterpart requires a profound comprehension of the transformative effects of AM on the supply chain. This paper first extracts the possible effects of AM on the supply chain and then tries to connect these effects to the drivers of complexity under three main categories of 1) market, 2) manufacturing technology, and 3) supply, planning and infrastructure. Possible impacts of additive manufacturing adoption on the supply chain complexity have been studied using information theoretic measures. An Agent-based Simulation (ABS) model has been developed to study and compare two different supply chain configurations. The findings of this study suggest that the adoption of AM can decrease the supply chain complexity, particularly when product customization is considered.


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