scholarly journals Multiple criteria decision making in supply chain management – Currently available methods and possibilities for future research

2012 ◽  
Vol 66 (2) ◽  
pp. 180-213 ◽  
Author(s):  
Patrick Beck ◽  
Erik Hofmann
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Future Research ◽  
Chain Management

scholarly journals Multi-criteria decision making for supplier selection: a literature critique

2021 ◽  
Vol 12 (1) ◽  
pp. 329-352
Author(s):  
Hayk Manucharyan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Chain Management ◽  
Decision Making Processes ◽  
Aid Decision

In contemporary supply chain management, a company’s performance is largely dependent on its strategic choice of suppliers. The complexity of supplier evaluation and selection is driving the development of novel support techniques and their integration into multi-criteria decision-making processes. This review identifies the most prevalent approaches in the supply chain management literature (1998–2018), analyzes the strengths and weaknesses of these approaches, and discusses the most popular supplier selection attributes. The non-conventional, emerging methods in domain literature are also discussed, and future research directions are proposed. Supplier selection approaches are classified into individual, integrated, and non-conventional approaches. To overcome the limitations associated with these tools when used individually, most of the published works have used integrated techniques, among which integrated fuzzy and analytic hierarchy process methods are most popular. We conclude that while some of the methodologies are common, the more non-conventional approaches, such as market utility-based models, are rarely used in the supplier selection literature, leaving much opportunity to further develop these less-used approaches and, ultimately, aid decision-makers in supply chain management.

scholarly journals Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review

2021 ◽  
Vol 13 (13) ◽  
pp. 7104
Author(s):  
Ananna Paul ◽  
Nagesh Shukla ◽  
Sanjoy Kumar Paul ◽  
Andrea Trianni
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Simulation Techniques ◽  
Optimization And Simulation

Multi-criteria decision-making (MCDM) methods are smart tools to deal with numerous criteria in decision-making. These methods have been widely applied in the area of sustainable supply chain management (SSCM) because of their computational capabilities. This paper conducts a systematic literature review on MCDM methods applied in different areas of SSCM. From the literature search, a total of 106 published journal articles have been selected and analyzed. Both individual and integrated MCDM methods applied in SSCM are reviewed and summarized. In addition, contributions, methodological focuses, and findings of the reviewed articles are discussed. It is observed that MCDM methods are widely used for analyzing barriers, challenges, drivers, enablers, criteria, performances, and practices of SSCM. In recent years, studies have focused on integrating more than one MCDM method to highlight methodological contributions in SSCM; however, in the literature, limited research papers integrate multiple MCDM methods in the area of SSCM. Most of the published articles integrate only two MCDM methods, and integration with other methods, such as optimization and simulation techniques, is missing in the literature. This review paper contributes to the literature by analyzing existing research, identifying research gaps, and proposing new future research opportunities in the area of sustainable supply chain management applying MCDM methods.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

The Decision Process of Contracting in Supply Chain Management

2020 ◽  
Author(s):  
Jens K. Roehrich ◽  
Beverly B. Tyler ◽  
Jas Kalra ◽  
Brian Squire
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Decision Process ◽  
Interorganizational Relationships ◽  
Future Research ◽  
Theoretical Frameworks ◽  
Chain Management ◽  
Research And Practice ◽  
Future Developments ◽  
The Relationship

Contracts are a formal mode of governing interorganizational relationships. They specify the terms and conditions of the agreement between two parties, interpret and adapt the relevant legal and industrial norms, serve as framing devices, and establish the rules and norms underpinning the relationship. The objective of this chapter is to synthesize the extant literature on interorganizational contracting to guide future research and practice. This chapter focuses on the three phases of contracting: (1) designing the contracting portfolio; (2) negotiating initial contracts; and (3) managing the relationship using contracts. The chapter explores the key decisions in each phase and the criteria involved in making these decisions. In doing so, it draws on existing research and theoretical frameworks that have contributed to the development of the contracting literature. The chapter also identifies some important and interesting directions for future contracting research and offers suggestions regarding how selected theoretical lenses might guide these endeavors. The principal conclusion is that while the existing research has primarily focused on the structural issues guiding contracting design, a more processual, social, and behavioral focus is required in future developments of the contracting literature.

Sustainable supply chain management: continuing evolution and future directions

2019 ◽  
Vol 50 (1) ◽  
pp. 122-146 ◽  
Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Theory Development ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Unit Of Analysis ◽  
Chain Management ◽  
Content Type ◽  
Empirical Validity ◽  
Sustainable Supply Chain Management

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.

scholarly journals Mapping domain characteristics influencing Analytics initiatives: The example of Supply Chain Analytics

2020 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Tino Herden
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Success Factors ◽  
Research Collaboration ◽  
Future Research ◽  
Structured Interviews ◽  
Chain Management ◽  
Domain Specific ◽  
The Status ◽  
The Impact

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains.Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin.Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed.Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.

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