BPM-based integration of supply chain process modeling, executing and monitoring

2007 ◽  
Vol 45 (11) ◽  
pp. 2545-2566 ◽  
Author(s):  
Hyerim Bae ◽  
Yongwon Seo
Author(s):  
Henry Xu ◽  
Renae Agrey

Modeling of supply chain processes is fundamental to analysis of these processes and is essential for process design prior to implementation of a supply chain management system. In this chapter, the background of business process modeling is first introduced. This is followed by a summarized description and critical discussion of the major techniques for supply chain process modeling such as the SCOR model, BPMN, UML, IDEF and simulation. These techniques have been widely used in academic research and development of management information systems. Finally, future trends are pointed out and the chapter is concluded.


Author(s):  
Henry Xu ◽  
Renae Agrey

Modeling of supply chain processes is fundamental to the analysis of these processes and is essential for process design prior to implementation of a supply chain management system. In this chapter, the background of business process modeling is first introduced. This is followed by a summarized description and critical discussion of the major techniques for supply chain process modeling such as the SCOR model, BPMN, UML, IDEF, and simulation. These techniques have been widely used in academic research and development of management information systems. Finally, future trends are pointed out, and the chapter is concluded.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joerg Leukel ◽  
Vijayan Sugumaran

PurposeProcess models specific to the supply chain domain are an important tool for the analysis of interorganizational interfaces and requirements of information technology (IT) systems supporting supply chain decision-making. The purpose of this study is to examine the effectiveness of supply chain process models for novice analysts in conveying domain semantics compared to alternative textual representations.Design/methodology/approachA laboratory experiment with graduate students as proxies for novice analysts was conducted. Participants were randomly assigned to either the diagram group, which worked with “thread diagrams” created from the modeling grammar “Supply Chain Operation Reference (SCOR) model”, or the text group, which worked with semantically equivalent textual representations. Domain understanding was measured using cognitively demanding information acquisition for two different domains.FindingsDiagram users were more accurate in identifying product-related information and organizing this information in a graph compared to those using the textual representation. The authors found considerable improvements in domain understanding, and using the diagrams was perceived as easy as using the texts.Originality/valueThe study's findings are unique in providing empirical evidence for supply chain process models being an effective representation for novice analysts. Such evidence is lacking in prior research because of the evaluation methods used, which are limited to scenario, case study and informed argument. This study adds the diagram user's perspective to that literature and provides a rigorous empirical evaluation by contrasting diagrammatic and textual representations.


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