Complexity and performance measurement for retail supply chains. Issue 4 (13th May 2019)

• Record Type: Journal Article
• Authors: Ekinci, Esra; Baykasoğlu, Adil
• Is Part Of: Industrial management & data systems. Volume 119:Issue 4(2019)
• Page Start: 719
• Page End: 742
• Publication Date: 2019-05-13
• Subjects: Performance measures -- System dynamics -- Complexity analysis -- Retail supply chain; Industrial management -- Periodicals; Electronic data processing -- Periodicals; Business -- Periodicals; Industrial management -- Great Britain -- Periodicals; 658.05
• DOI: 10.1108/IMDS-08-2018-0342
• Languages: English
• ISSNs: 0263-5577

Abstract

Abstract : Purpose: The purpose of this paper is to present how complexity on retail supply chains should be recognized and its relationship with the performance. Different supply chain structures and planning horizons have been analyzed to support practitioners taking action on the short, mid and long terms. Confronted complexity in the supply chain has been categorized as system, perceived and value adding. This would also help practitioners to understand the sources of the complexity and if the complexity is useful for the system or not. Design/methodology/approach: Three different retail supply chain scenarios – each concentrating on different planning horizons – have been simulated on system dynamics software STELLA. Using the new classification scheme for complexity and suggested performance metrics, a multi-perspective analysis has been performed on the STELLA output. Findings: The results and the methodology can be easily applicable in practice to support decision-making process and to answer "what-if" type scenario analysis on systems design and configuration. Using the selected complexity metrics, complexity of the system considering time factor – static and dynamic – and different information levels – system, perceived and value adding – has been evaluated. Used complexity metrics indicate the problematic areas in the systems to be distinguished. Originality/value: This paper uses system dynamics modeling in retail supply chains to derive insight about dynamic behavior and to represent the complex interactions and a new classification scheme for system complexity.