Holism versus reductionism in supply chain management: An economic analysis

作者:

Highlights:

• We model an agent-based supply chain under a large noise scenario.

• A fractional factorial DoE with eleven factors has been used.

• Economic robustness of the TOC is shown compared to the classic OUT policy.

• The research brings evidence of the need for aligning incentives in the system.

• ABM prototypes are highlighted as powerful model-driven DSSs for supply chains.

摘要

Since supply chains are increasingly built on complex interdependences, concerns to adopt new managerial approaches based on collaboration have surged. Nonetheless, implementing an efficient collaborative solution is a wide process where several obstacles must be faced. This work explores the key role of experimentation as a model-driven decision support system for managers in the convoluted decision-making process required to evolve from a reductionist approach (where the overall strategy is the sum of individual strategies) to a holistic approach (where global optimization is sought through collaboration). We simulate a four-echelon supply chain within a large noise scenario, while a fractional factorial design of experiments (DoE) with eleven factors was used to explore cause-effect relationships. By providing evidence in a wide range of conditions of the superiority of the holistic approach, supply chain participants can be certain to move away from their natural reductionist behavior. Thereupon, practitioners focus on implementing the solution. The theory of constraints (TOC) defines an appropriate framework, where the Drum–Buffer–Rope (DBR) method integrates supply chain processes and synchronizes decisions. In addition, this work provides evidence of the need for aligning incentives in order to eliminate the risk to deviate. Modeling and simulation, especially agent-based techniques, allows practitioners to develop awareness of complex organizational problems. Hence, these prototypes can be interpreted as forceful laboratories for decision making and business transformation.

论文关键词:ABM,Agent-based modeling,DBR,Drum–Buffer–Rope,DoE,Design of experiments,OUT,Order-up-to,SCM,Supply chain management,TA,Throughput accounting,TOC,Theory of constraints,Drum–Buffer–Rope,Model-driven decision support systems,OUT policy,Theory of constraints,Throughput accounting

论文评审过程:Received 22 June 2015, Revised 31 January 2016, Accepted 31 March 2016, Available online 7 April 2016, Version of Record 8 May 2016.

论文官网地址:https://doi.org/10.1016/j.dss.2016.03.010