A new Supply Chain Maturity Model with 3-dimension perspective

Author(s):  
Zhao Daozhi ◽  
Zhang Liang ◽  
Liu Xin ◽  
Sun Jianyong
Keyword(s):  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harmen S. Wijbenga ◽  
Paul C. van Fenema ◽  
Nynke Faber

Purpose The purpose of the study is to diagnose recurrent logistics problems in a public organization’s network of logistics entities, determining the maturity level of each supply chain (SC) function, and trying to link problems within the SC functions to the maturity level by using the case study method. Design/methodology/approach Extant research on supply chain management (SCM) maturity is combined with notions of SC flows and disciplines. The resulting SCM Disciplines Maturity model comprises multiple diagnostic steps. It is illustrated by means of a developmental case study at a large public organization facing recurrent logistics problems in routine processes. Findings The model is shown to be a useful instrument to obtain insight into linkages between recurrent logistics problems and the way an SCM organization harbors multiple SCM disciplines. Originality/value The paper examines recurrent logistics problems in relation to SCM maturity, a relatively unknown research subject. It shows how SCM maturity thinking can support the diagnosis of recurrent problems. In a rapidly changing world, it enables further research on diagnosis as a dynamic capability.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Mayshel Yolanda Sitorus ◽  
Imam Baihaqi ◽  
Dewie Saktia Ardiantono
Keyword(s):  

Author(s):  
Baixing Yang ◽  
Sai Yang

With the development of big data analysis, blockchain and other technologies, the supply chain of enterprises is transforming to lean and intelligent. As an important link in the enterprise supply chain, the intelligent transformation of procurement plays an important role in the improvement of the supply chain efficiency, therefore, the construction of a common method supporting the intelligent upgrade of the enterprise procurement business has become a key concern for enterprise managers. Based on the balanced scorecard theory and the supply chain maturity model, this study combines the actual situation of procurement management in Chinese energy enterprises and constructs a procurement benchmarking system that balances the development direction of the industry and the actual needs of enterprises. Meanwhile, based on the grounded theory, three major themes of the intelligent procurement system (digital business module, procurement synergy mechanism and procurement ecosystem) are extracted to provide a methodological reference for the construction of intelligent procurement systems of energy enterprises. The study concludes with a case study of China National Energy Group Materials Company to demonstrate the application of the intelligent procurement system built in this paper, with a view to providing methodological reference for the intelligent procurement management in energy enterprises.


Author(s):  
Ehap Sabri ◽  
Rohan Vishwasrao

The authors describe how organizations can leverage the maturity model approach in conjunction with foundational concepts of perspective-based performance evaluation models like the balanced scorecard (BSC) to define a comprehensive performance measurement framework. A maturity model by design provides a road-map to the next level of performance. In this chapter, the authors propose using maturity models as a structured way of identifying current capability or maturity level of any supply chain. The authors provide guidance on selecting the right “causal linkages” between supply chain objectives and performance measures. They then define a mechanism for specifying even more granular definitions of measures linked to strategic objectives, as the level of maturity progresses. In this chapter, the authors survey widely used supply chain/business process maturity models and current practices related to measuring operational metric. And then present a tiered framework for operational metric alignment and KPI governance based on perspective-based modeling design principles.


Author(s):  
Saliya Nugawela ◽  
Darshana Sedera

Compared to the supply chain management of other business domains, agricultural supply chain management is affected with issues such as diversity of production and demand, the bulkiness of produce, perishability, seasonality, harvest uncertainty, and climate complexity. These issues are more prominent in rural agricultural sector. Availability of mature supply chain management processes and systems can enhance the productivity of rural agricultural communities. This chapter proposes a five-stage capability maturity model for the implementation and maintenance of supply chain management processes in farm management information systems. The capability maturity model is a valuable aid to determine the digitized supply chain process' ability to consistently and continuously achieve improvement and organizational objectives. The model is proposed based on the findings of the analysis of 121 supply chain management software in the farming sector, the Capability Maturity Model by the Software Engineering Institute, and the Supply Chain Process Management Maturity Model.


2019 ◽  
Vol 52 (13) ◽  
pp. 2044-2049 ◽  
Author(s):  
Yahiaoui Sanae ◽  
Fedouaki Faycal ◽  
Mouchtachi Ahmed
Keyword(s):  

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emmelie Gustafsson ◽  
Patrik Jonsson ◽  
Jan Holmström

Purpose In retail, product fitting is a critical operational practice. For many products, the operational outcome of the retail supply chain is determined by the customer physically fitting products. Digital product fitting is an emerging operational practice in retail that uses digital models of products and customers to match product supply to customer requirements. This paper aims to explore potential supply chain outcomes of digitalizing the operational practice of product fitting. The purpose is to explore and propose the potential of the practice to improve responsiveness to customer requirements and the utilization of existing variety in mass-produced products. Design/methodology/approach A maturity model of product fitting is developed to specify three levels of digitalization and potential outcomes for each level. Potential outcomes are developed based on empirical data from a case survey of three technology-developing companies, 13 retail cases and a review of academic literature. Findings With increasing maturity of digital product fitting, the practice can be used for more purposes. Besides matching product supply to customer demand, the practice can improve material flows, customer relationship management, assortment planning and product development. The practice of digital product fitting is most relevant for products where the final product configuration is difficult to make to order, product and customer attributes are easily measurable and tacit knowledge of customers and products can be formalized using digital modeling. Research limitations/implications Potential outcomes are conceptualized and proposed. Further research is needed to observe actual outcomes and understand the mechanisms for both proposed and surprising outcomes in specific contexts. Practical implications The maturity model helps companies assess how their operations can benefit from digital product fitting and the efforts required to achieve beneficial outcomes. Originality/value This paper is a first attempt to describe the potential outcomes of introducing digital product fitting in retail supply chains.


2012 ◽  
Vol 452-453 ◽  
pp. 829-832 ◽  
Author(s):  
Taivo Kangilaski

Supply chain management is the practice of coordinating the flow of goods, services, information and finances as they move from raw materials to parts supplier to manufacturer to wholesaler to retailer to consumer. Thus it is important for organisations to build up their partner networks supporting their long-term demand forecasts for capacity requirements. Constructing such an ecosystem, the companies need some supporting framework. The current article proposes maturity model based approach that could assist companies in their decisions.


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