scholarly journals Collaborative Supply Chain Management: The Hybrid Knowledge-Based Development Approach of Suppliers-Customers Perspective

2014 ◽  
pp. 130-141
Author(s):  
Zulkifli Mohamed Udin ◽  
Shahimi Mohtar ◽  
Abdul Aziz Othman
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management ◽  
Knowledge Based ◽  
Hybrid Knowledge ◽  
Development Approach ◽  
Customers Perspective ◽  
Collaborative Supply Chain Management

Synergy analysis of collaborative supply chain management in energy systems using multi-period MILP

2006 ◽  
Vol 174 (1) ◽  
pp. 387-403 ◽  
Author(s):  
Ahu Soylu ◽  
Cihan Oruç ◽  
Metin Turkay ◽  
Kaoru Fujita ◽  
Tatsuyuki Asakura
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Energy Systems ◽  
Chain Management ◽  
Collaborative Supply Chain Management

scholarly journals Explaining the competitive advantage generated from Analytics with the knowledge-based view: the example of Logistics and Supply Chain Management

2019 ◽  
Vol 13 (1) ◽  
pp. 163-214 ◽  
Author(s):  
Tino T. Herden
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Competitive Advantage ◽  
Case Studies ◽  
Data Driven ◽  
Sustainable Competitive Advantage ◽  
Chain Management ◽  
Knowledge Based ◽  
Data Scientist ◽  
Functional Teams

AbstractThe purpose of this paper is to provide a theory-based explanation for the generation of competitive advantage from Analytics and to examine this explanation with evidence from confirmatory case studies. A theoretical argumentation for achieving sustainable competitive advantage from knowledge unfolding in the knowledge-based view forms the foundation for this explanation. Literature about the process of Analytics initiatives, surrounding factors, and conditions, and benefits from Analytics are mapped onto the knowledge-based view to derive propositions. Eight confirmatory case studies of organizations mature in Analytics were collected, focused on Logistics and Supply Chain Management. A theoretical framework explaining the creation of competitive advantage from Analytics is derived and presented with an extensive description and rationale. This highlights various aspects outside of the analytical methods contributing to impactful and successful Analytics initiatives. Thereby, the relevance of a problem focus and iterative solving of the problem, especially with incorporation of user feedback, is justified and compared to other approaches. Regarding expertise, the advantage of cross-functional teams over data scientist centric initiatives is discussed, as well as modes and reasons of incorporating external expertise. Regarding the deployment of Analytics solutions, the importance of consumability, users assuming responsibility of incorporating solutions into their processes, and an innovation promoting culture (as opposed to a data-driven culture) are described and rationalized. Further, this study presents a practical manifestation of the knowledge-based view.

scholarly journals Coordinating Supply-Chain Management under Stochastic Fuzzy Environment and Lead-Time Reduction

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 480 ◽  
Author(s):  
Asif Iqbal Malik ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Lead Time ◽  
Optimal Solution ◽  
Chain Model ◽  
Setup Cost ◽  
Chain Management ◽  
The Impact ◽  
Collaborative Supply Chain Management

In this paper, a supply-chain (SC) coordination method based on the lead-time crashing is proposed for a seller–buyer system. By considering different transportation modes, we control the lead-time (LT) variability. For the first time, we have attempted to determine the impact of the reliable and unreliable seller in a continuous-review supply-chain model under the stochastic environment. The authors discussed two reliability cases for the seller. First, we consider the seller is unreliable and in the second case, the seller is reliable. In addition, the demand during the lead time is stochastic with the known mean and variance. The proposed approach tries to find an optimal solution that performs well without a specific probability distribution. Besides, a discrete investment is made to reduce the setup cost, which will indirectly help supply-chain members to increase the total profit of the system. In the proposed model, the seller motivates the buyer by reducing lead time to take part in coordinating decision-making for the system’s profit optimization. We derive the coordination conditions for both members, the seller and the buyer, under which they are convinced to take part in the cooperative decision-making plan. Therefore, lead-time crashing is the proposed incentive mechanism for collaborative supply-chain management. We use a fixed-charge step function to calculate the lead-time crashing cost for slow and fast shipping mode. We give two numerical examples to validate the proposed models and demonstrate the service-level enhancement under the collaborative supply-chain management in case of an unreliable seller. Concluding remarks and future extensions are discussed at the end.

Knowledge-based RFID enabled Web Service architecture for supply chain management

2010 ◽  
Vol 37 (12) ◽  
pp. 7937-7946 ◽  
Author(s):  
David Sundaram ◽  
Wei Zhou ◽  
Selwyn Piramuthu ◽  
Schalk Pienaar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Web Service ◽  
Service Architecture ◽  
Chain Management ◽  
Knowledge Based
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