International Journal of Management and Decision Making (3 papers in press)
- Sharing Planned Factory Shutdown Information in Supply Chain Systems: An Agent-Based Modelling Approach
by Ghada Deghedi, Yasser Ibrahim
Abstract: Reverse Information Sharing (RIS) has recently received attention as an essential complementary coordination mechanism to the typical downstream IS in Supply Chain (SC) systems. This paper comprehensively discusses the behaviour of a SC system under the condition of planned factory shutdown. The significance of sharing shutdown information for the whole SC and each of its actors is investigated under different Inventory to Backorder Cost Ratios (I/B-CRs) and various production capacities. A modified beer game that allows factory shutdown is represented as a four-stage serial SC. A deterministic market demand, with demand IS in place, is assumed. An agent based model is developed for simulating different scenarios. The results demonstrate that RIS prevents the accumulation of backorder and reduces the overall SC cost by almost 50%. The results, nevertheless, show that the significance of RIS is relative to the I/B-CR and production capacity.
Keywords: Supply Chain Management (SCM); Beer Game; Reverse Information Sharing; Agent-Based Modelling (ABM)
- Calculating the Total Value of Supplier Innovation
by Stefan Winter, Rainer Lasch, Jatinder Gupta
Abstract: Supplier innovation can contribute to a companys success, not only through cost savings, but also through revenue improvements by means of a higher chargeable price or the attraction of more customers. Although the demonstration of the measurable benefits (cost and revenue effects) from supplier innovation has been suggested in the literature, no approach to determine the total value of a supplier innovation is available. For this purpose, total cost approaches and price setting approaches were examined to design the evaluation components within our proposed total value of suppler innovation approach. We demonstrate how cost effects can be identified by total cost analysis and revenue effects by means of a conjoint analysis and a choice simulator. The developed approach and its description serve as a practical procedure to assess the monetary profitability of supplier innovation and support managers in their decision making efforts. A case example about a smartphone manufacturer demonstrates the applicability of our proposed total value of suppler innovation approach.
Keywords: supplier innovation; evaluation; assessment; total cost analysis; conjoint analysis; decision making
Special Issue on: "Applications of AHP/ANP in Government Policy and Decision Making,"
- Government Policy and Health Care management: proposal of a shared decision-making model
by Antonella Petrillo, Fabio De Felice, Carmela Vanzanella, Filippo Crispino, Jennifer Martin, Stephen Morgan, Michael Craven, Leandro Pecchia
Abstract: As a consequence of the current economic crisis many changes have been introduced to health systems on national levels to reduce expenditure and to introduce more cost-effective methods. Then recent developments in medical technology have led to a shift in the traditional framework of physician-patient responsibility in health care decision making. In this context, the health community urges, in any case, decision makers to ensure that all changes introduced are in accordance with Health System Values. This paper presents a new decision making platform, as a tool to facilitate shared decision making, to improve the quality and transparency of tactical and strategic decisions. This new application, based on analytic quantitative method, is a component of a wider distribute web system under development, which aims to inform the new effective health technologies supporting designers in the user need elicitation and early stage health technology assessments. A case study aiming to elicit the user needs affecting the decision of whether to adopt a new magnetic resonance imaging (MRI) is also presented.
Keywords: Analytic Hierarchy Process, government policy, magnetic resonance imaging, user need elicitation, decision making