Seyedehfatemeh Golrizgashti, Qingyun Zhu and Joseph Sarkis
Market uncertainties require organizations to consistently revisit their product portfolio. Theoretically the link between corporate strategy, supply chain and operations for…
Abstract
Purpose
Market uncertainties require organizations to consistently revisit their product portfolio. Theoretically the link between corporate strategy, supply chain and operations for Product Deletion (PD) decisions is lacking. The purpose of this study is to develop a decision support tool that enables managers to evaluate PD decisions across business, supply chain strategies and customer considerations; rationalizing product portfolio variety while realizing long-term organizational competitiveness.
Design/methodology/approach
This study applies Quality Function Deployment (QFD) to formalize PD decision-making across multiple functional strategy perspectives. Manufacturing, supply chain, finance and marketing functions are included along with incorporating multiple stakeholder voices from multiple organizational levels—including top-management team members, cross-functional managers and customers. A case study application is conducted using an Original Equipment Manufacturer (OEM) perspective.
Findings
The interrelationships between business, supply chain strategies and customer requirements are identified, along with tensions and tradeoffs using a series of “houses” or relationship matrices. The methodology provides managers with a decision support tool that can be flexible and applicable to aid sound PD decision-making incorporating multiple stakeholders.
Originality/value
Product decisions at the decline stage—for example product retirement or deletion—are neglected both in research and in practice. Having a formalized systematic process can make PD outcomes more objective. The proposed QFD approach is one of the early PD decision support tools—products can be deleted for strategic, operational and customer-related reasons, and the hierarchical interrelationships among various reasons need to be carefully managed to ensure sound product portfolio rationalization.
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Qingyun Zhu, Seyedehfatemeh Golrizgashti and Joseph Sarkis
Product portfolio management is a strategic concern. Product portfolio management includes decisions associated with adding new products, maintaining existing products and…
Abstract
Purpose
Product portfolio management is a strategic concern. Product portfolio management includes decisions associated with adding new products, maintaining existing products and deleting or phasing out problematic products. This paper first introduces a framework to identify risks of product deletion along supply chain activities. It utilizes failure mode and effects analysis (FMEA) to identify, analyse and evaluate product deletion risks on supply chains and proposes managerial implications for risk management in dynamic business scenarios. It is meant to build upon and address a gap in the product deletion and supply chain linkage literature.
Design/methodology/approach
FMEA is utilized in this study to structure and manage potential risks in product deletion decision-making on supply chains. FMEA is based on an analysis of severity, occurrence and detectability of failure modes. FMEA provides methods to help identify managerial preventive solutions to avoid and mitigate risk consequences of such decisions.
Findings
Ten top product deletion risks are identified in this study; discussions of their negative impact on supply chain performance, and possible managerial recommendations are followed for risk control, monitor and elimination.
Practical implications
Findings help managers to predict, avoid and mitigate risk consequences of product deletion decisions; especially those related to the supply chain. A framework to structure various risks of product deletion in the supply chain can be useful to both practitioners and researchers.
Originality/value
This study advances product portfolio management through enhanced understanding of product deletion decision-making in organizations; and especially contributes to a broader investigation of such decisions in supply chain management. It also structures the factors that play a role in identifying risks.