Strategy selection of production technical standards in a manufacturing supply chain network: the role of partnership density

2017 ◽  
Vol 22 (6) ◽  
pp. 517-522 ◽  
Author(s):  
Huiying Zhang ◽  
Zhendong Li
Keyword(s):  
Supply Chain ◽  
Supply Chain Network ◽  
Strategy Selection ◽  
Technical Standards ◽  
Manufacturing Supply Chain ◽  
Selection Of

Research on the influence of relation embeddedness on innovation performance of manufacturing supply chain alliances using expert fuzzy rule –intermediary role of shared mental model

2021 ◽  
pp. 1-8
Author(s):  
Guo Lifang ◽  
Cui Yuwen ◽  
Wu Yamin ◽  
Ma Jiaqi
Keyword(s):  
Supply Chain ◽  
Mental Model ◽  
Fuzzy Rule ◽  
Innovation Performance ◽  
Market Demand ◽  
Shared Mental Model ◽  
Rule Based System ◽  
Manufacturing Supply Chain ◽  
Intermediary Role

The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance.

Selection of end user in supply chain network using Fuzzy-Pareto approach

2011 ◽  
Author(s):  
Jinesh K. Jain ◽  
G. S. Dangayach ◽  
G. Agarwal ◽  
Soumya Banerjee ◽  
Partha Dey
Keyword(s):  
Supply Chain ◽  
Supply Chain Network ◽  
End User ◽  
Selection Of

Sterilization Modality Selection: Role of Sterility Assurance Subject Matter Expert

2021 ◽  
Vol 55 (s3) ◽  
pp. 67-77
Author(s):  
Jami McLaren ◽  
Joyce M. Hansen ◽  
Vu Le
Keyword(s):  
Supply Chain ◽  
Subject Matter ◽  
Selection Process ◽  
Collaborative Partnerships ◽  
Supply Chain Logistics ◽  
End To End ◽  
Negative Impacts ◽  
Assurance Process ◽  
Selection Of

Abstract Selection of a sterilization modality for a medical device is a critical decision that requires sterility assurance subject matter experts (SME)s to work collaboratively with various company functions. The sterility assurance SME is responsible and accountable for the sterilization modality decision for a product. The modality selection process starts with the sterility assurance SME partnering with research and development to ensure that the sterilization modality allows the device to deliver its intended function in patient care. After the sterilization modality is selected, the sterility assurance SME needs to work with other partners, including quality, supply chain/logistics, operations, and regulatory, to ensure that the selected sterilization modality is appropriately integrated into the end-to-end process. Collaborative partnerships between sterility assurance experts and key partners regarding sterilization modality selection reduce the potential for negative impacts within the end-to-end sterility assurance process, including impacts on product functionality, increased regulatory approval timelines, and inefficiencies and risks throughout the supply chain. This article describes aspects of a comprehensive approach to sterilization modality selection, including critical information necessary to address each of the key considerations.

scholarly journals Improving the coordination in the humanitarian supply chain: exploring the role of options contract

2020 ◽  
Author(s):  
Lijo John ◽  
Anand Gurumurthy ◽  
Arqum Mateen ◽  
Gopalakrishnan Narayanamurthy
Keyword(s):  
Supply Chain ◽  
Planning Horizon ◽  
Optimal Pricing ◽  
Production Risk ◽  
Point Estimates ◽  
Material Procurement ◽  
Optimal Values ◽  
Humanitarian Supply Chain ◽  
Selection Of

Abstract The uncertainty associated with the location, severity and timing of disaster makes it difficult for the humanitarian organization (HO) to predict demand for the aid material and thereby making the relief material procurement even more challenging. This research explores whether options contract can be used as a mechanism to aid the HO in making procurement of relief material less challenging by addressing two main issues: inventory risk for buyers and over-production risk for suppliers. Furthermore, a contracting mechanism is designed to achieve coordination between the HO and aid material suppliers in the humanitarian supply chain through optimal pricing. The options contract is modelled as a stylized version of the newsvendor problem that allows the HO to adjust their order quantity after placing the initial order at the beginning of the planning horizon. This flexibility helps to mitigate the risk of both overstocking and understocking for the HO as well as the risk of overproduction for the supplier. Our results indicate that the optimal values for decision parameters are not “point estimates” but a range of prices, which can facilitate negotiation between the two parties for appropriate selection of contract parameters under an options contract. The results imply that options contract can aid in the decentralized approach of fixing the prices between the HO and the supplier, which in turn would help in achieving systemic coordination.

scholarly journals Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Tengjiao Li ◽  
Hongzhuan Chen ◽  
Jie Yuan ◽  
Jingye Qian ◽  
Abdul Waheed Siyal
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Product Quality ◽  
Propagation Model ◽  
Propagation Mechanism ◽  
Supply Chain Network ◽  
Complex Product ◽  
Collaborative Manufacturing ◽  
Manufacturing Supply Chain ◽  
Quality Risk

The collaborative development of complex products has gradually developed into a “main manufacturer-suppliers” mode, under which the manufacturing enterprises form a complex product collaborative manufacturing supply chain network. Quality risks which bring enormous hidden danger to the product quality can be propagated and accumulate along the supply chain. It is of great significance to quantify the propagation mechanism of quality risk between supply chain network nodes and identify the key quality risk factor that causes fluctuation of product quality. This study for the first time applies the SoV into the research on quality risk propagation of complex product collaborative manufacturing supply chain network. Firstly, this paper uses the CN to construct a complex product collaborative manufacturing supply chain network according to its characteristics. Secondly, on the basis of SoV, the quality risk propagation model is established. Thirdly, we put forward a method to identify the key quality risk factors of supply chain network based on the risk propagation effect. Lastly, a numerical simulation is given to verify the effectiveness of the model and its identification method. The results reveal that the quality risk propagation includes the vertical propagation within enterprises and the horizontal propagation from the lower-level enterprises to the upper-level enterprises of the supply chain. The quality risks of an enterprise are determined by its own quality risk factors and the quality risk passed by the lower-level enterprises.

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