Managing service supply chains in the big data era: A system of systems perspective

2016 ◽  
pp. 73-80 ◽  
Author(s):  
Tsan-Ming Choi
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
System Of Systems ◽  
Systems Perspective ◽  
Service Supply Chains

Challenges with big data analytics in service supply chains in the UAE

2019 ◽  
Vol 57 (8) ◽  
pp. 2124-2147 ◽  
Author(s):  
Mehmood Khan
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
United Arab Emirates ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Second Phase ◽  
Content Type ◽  
Service Staff ◽  
Service Supply Chains ◽  
Practical Implications

Purpose The purpose of this paper is to study the challenges associated with big data analytics (BDA) in service supply chains in the United Arab Emirates (UAE). Design/methodology/approach A comprehensive questionnaire has been developed based on semi-structured interviews with different administrators and IT experts. In the second phase, data (n=164) are collected from procurement, operations, administration and customer service staff in the UAE. In the third phase, responses are examined using principal component analysis to identify eight major challenges for big data. A structural model is developed to examine the significance of these dimensions to the notion of big data challenges in supply chains. Findings The statistical model shows 66 percent variance of response to BDA, which is caused by technical, cultural, ethical, operational, tactical, procedural, functional and organizational challenges. These are positively correlated measurement challenges with BDA in service supply chains. Research limitations/implications Service supply chain professionals and stakeholders believe that catering to the challenges with BDA must be a multi-faceted approach and not limited to specific practices. Practical implications The challenges with BDA should be taken into planning and implementation from a holistic perspective. The framework in this paper can have both theoretical and practical implications. Originality/value The contribution of this paper is to advance the understanding of BDA in service sector by viewing it from the perspective of different stakeholders.

scholarly journals How to evaluate sustainability of supply chains? A dynamic network DEA approach

2017 ◽  
Vol 117 (9) ◽  
pp. 1866-1889 ◽  
Author(s):  
Vahid Shokri Kahi ◽  
Saeed Yousefi ◽  
Hadi Shabanpour ◽  
Reza Farzipoor Saen
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Real World ◽  
Performance Optimization ◽  
Network Dynamic ◽  
Network Dea ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
First Time

Purpose The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.

A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions

2021 ◽  
Vol 170 ◽  
pp. 120927
Author(s):  
Yigit Kazancoglu ◽  
Muhittin Sagnak ◽  
Sachin Kumar Mangla ◽  
Muruvvet Deniz Sezer ◽  
Melisa Ozbiltekin Pala
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Decision Framework

Dynamics of judicial service supply chains

2014 ◽  
Vol 67 (7) ◽  
pp. 1447-1454 ◽  
Author(s):  
Luis López ◽  
Roy Zúñiga
Keyword(s):  
Supply Chains ◽  
Service Supply Chains

Variation Management in the Product-Service Supply Chains of Repairable Products

2018 ◽  
pp. 104-152
Author(s):  
Shabnam Rezapour ◽  
Amirhossein Khosrojerdi ◽  
Golnoosh Rasoulifar ◽  
Janet K. Allen ◽  
Jitesh H. Panchal ◽  
...  
Keyword(s):  
Supply Chains ◽  
Product Service ◽  
Service Supply Chains ◽  
Variation Management
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