Mapping supply chain collaboration research: a machine learning-based literature review

Purpose – The purpose of this paper is to provide a systematic review of the literature on Collaborative Planning, Forecasting and Replenishment (CPFR). The review emphasises the descriptors of CPFR implementation and models, as well as the impact of CPFR and other supply chain collaboration (SCC) initiatives on supply chain (SC) performance. Design/methodology/approach – The systematic review includes 50 full-text papers retrieved from four databases: Emerald, EBSCO, ScienceDirect and Wiley. Rigorous and verifiable keywords, review steps and selection criteria were applied to the database and inter-coders agreement was systematically checked. Findings – There is no consensus regarding the breadth and scope of CPFR configurations. CPFR is context-dependent and varies according to the configuration of the SC. Trust, information-communication technology and the quality of information sharing are main enablers and inhibitors of implementation. Practical implications – Practitioners will benefit from insights related to the choice of SCC configurations (e.g. number of partners, nature of products and spatial complexity), the importance of trust and empowerment for SCC and the need to outweigh carefully the costs and benefits of specific SCC before implementation. Originality/value – CPFR, which is considered by many to be the most advanced and the most comprehensive SCC process and has a direct impact upon SC performance. Nonetheless, efforts to synthesise the overall state of the art in CPFR have been rather limited to date. As an effort to fill this gap, this paper provides a better understanding of the role of CPFR as a determinant of SC performance. As an effort to contribute to complete the cycle of theory building based on the literature review, seven propositions for CPFR research are put forward.

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Supply chain collaboration in the presence of disruptions: a literature review

International Journal of Production Research ◽

10.1080/00207543.2020.1712491 ◽

2020 ◽

Vol 58 (11) ◽

pp. 3488-3507 ◽

Cited By ~ 5

Author(s):

Linh Nguyen Khanh Duong ◽

Josephine Chong

Keyword(s):

Supply Chain ◽

Literature Review ◽

Supply Chain Collaboration

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Information exchange in vendor managed inventory

International Journal of Physical Distribution & Logistics Management ◽

10.1108/09600030710734848 ◽

2007 ◽

Vol 37 (2) ◽

pp. 131-147 ◽

Cited By ~ 44

Author(s):

Astrid Vigtil

Keyword(s):

Supply Chain ◽

Literature Review ◽

Information Sharing ◽

Value Chain ◽

Information Exchange ◽

Supply Chain Collaboration ◽

Vendor Managed Inventory ◽

Content Type ◽

Sales Forecasts ◽

Multiple Case

PurposeVendor managed inventory (VMI) is a model for supply chain collaboration gaining ground in multiple industries around the world. Forecasting is one of several means to predict future demand. The purpose of this paper is to identify what types of advance demand data would be valuable to the supplier for successful replenishment planning in cases of VMI, frequency and means of information exchange.Design/methodology/approachThe work is based on a literature review and a multiple case study where both successful and unsuccessful VMI collaboration programs are studied. In all cases, the supplier or the customer was a manufacturer. The discussion is based on case‐observations of causes and effects that are compared with existing literature.FindingsIt is found that current inventory status and sales forecasts are the most important kinds of information to be made available to the supplier in a VMI relationship. This also conforms with the general perception of the literature review. Some kinds of information are found valuable while other kinds are found not to be of importance. It was also found that kinds of information differ with the type of supply chain activities being performed by the customer, i.e. there is a different kind of information recommended when the customer makes to stock than when he is a wholesaler or a manufacturer making to order. This observation has not been discussed in the literature reviewed.Research limitations/implicationsThe value of generalization from case studies is subject to general discussion. The cases applied in this research encompass Norwegian suppliers and dyads at the upstream end of the value chain. Geographically related cultural differences might limit the applicability of this work.Originality/valueThe findings support the existing literature and this paper takes a practitioner's perspective on information sharing. The aim is to offer a comprehensive yet educational view of information sharing and VMI.

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