A Historical Review of Postponement Research

Zinn, Walter

doi:10.1111/jbl.12213

Cited by 37 publications

(58 citation statements)

References 40 publications

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“…Digitalization improves the quality of demand information, enabling firms to better pinpoint the product or service variant demanded as well as the location and the timing of the demand, thus dramatically reducing demand uncertainty (Rossman et al , 2018). As a result, firms have a lesser need for postponement because postponement is an uncertainty reduction management tool (Zinn, 2019). For example, when products are made to order, there is no uncertainty as to the customer requirement, so there is no need to postpone the product’s final form.…”

Section: Toward a Digitally Dominant Paradigm For Scm Researchmentioning

confidence: 99%

Toward a Digitally Dominant Paradigm for twenty-first century supply chain scholarship

Stank

Esper

Goldsby

et al. 2019

IJPDLM

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Purpose The digital advances in modern industry are accelerating changes in the broad social, economic, political and business environments within which supply chain management (SCM) is practiced. Given this extraordinary contextual upheaval, the conduct of research to identify, define, understand and explain how the digital revolution will impact key SCM concepts is imperative. The purpose of this paper is to introduce a theoretically grounded Digitally Dominant Paradigm (DDP) framework that demonstrates how digital concepts and insights can be infused into existing elements of best-practice SCM, in order to help guide future research. Design/methodology/approach Middle-range theorizing is proposed as a means to explore the ways in which researchers can explain supply chain phenomena (i.e. build theory) in the age of digitalization. Findings An example of how a DDP framework can be applied to a well-entrenched logistics/supply chain concept is provided, and the authors conclude by identifying exemplary research propositions for future exploration. Originality/value The broad goal of the paper is to spark forward-looking supply chain scholarship based upon development of a DDP of SCM.

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Section: Toward a Digitally Dominant Paradigm For Scm Researchmentioning

confidence: 99%

Toward a Digitally Dominant Paradigm for twenty-first century supply chain scholarship

Stank

Esper

Goldsby

et al. 2019

IJPDLM

Self Cite

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“…The researchers applied their proposed framework to twenty-eight cases from the literature to verify and demonstrate its applicability. Recent works [4][5][6][7] also examined the effect of various postponement strategies on the operations planning and management of multi-item manufacturing systems. This study considers the reworking of inevitable defective stocks produced in the proposed multi-item manufacturing system.…”

Section: Survey Of Previous Researchmentioning

confidence: 99%

Optimizing a multiproduct manufacturing system with delayed differentiation, outsourcing, expedited rate, and rework strategies

Chiu¹,

Ke²,

Chiu³

et al. 2021

J Appl Eng Science

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This study examines the effect of delayed differentiation, outsourcing, expedited fabrication rate, and rework strategies on optimal cycle-time decisions for a multi-item manufacturing system. Today’s manufacturing firms must simultaneously deal with externally increasing client multi-item requirements with rapid lead-time and high-quality products and internally on a limited capacity. This study is aimed at assisting manufacturers in meeting client needs in conditions of restricted-capacity and minimum total operating expenses, and adopts a delayed differentiation two-stage multiproduct manufacturing scheme to manage the end products’ commonality. The first stage produces all required common components, and the second stage fabricates individual finished goods. In both stages, we adopt the reworking of the inevitable nonconforming items produced to assure product quality. Furthermore, we implemented partial outsourcing of common parts’ batch and expedited the manufacturing rate of finished products to effectively reduce the uptimes in both stages. We explicitly developed a model to describe the characteristics of the problem. Mathematical analyses with optimization proved the cost function’s convexity and determined the cost-minimization rotation cycle policy. Finally, we numerically validated our model’s and results’ applicability and capability with a simulated example. Apart from creating a useful decision model, this study makes another important contribution to the existing literature in that its revelation of collective/individual effect of the manufacturing-relevant methods on the problem’s best-operating cycle policy and crucial performance indices helps manufacturers have better control over their operations and make effective and efficient managerial decisions.

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“…10. Transparency and postponement: Similar to the transparency strategy, the postponement strategy also involves improving decision-making (Van Hoek, 2001; by reducing the risk of carrying out activities based on speculation (Pagh & Cooper, 1998;Van Hoek, 2000Zinn, 2019), particularly activities related to differentiation . As such, the different types of postponement are about reducing the S─D segment and/or delaying the CADP in the supply chain.…”

Section: Leagility and Customizationmentioning

confidence: 99%

Demand-driven supply chain operations management strategies – a literature review and conceptual model

Tiedemann

2020

Production & Manufacturing Research

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The literature on demand-driven supply chain operations management strategies (DDSCOMSs) is excellent in describing when, where and how the strategies can be used. However, managers of manufacturing companies usually employ more than one DDSCOMS when designing and operating their supply chains, thus needing to understand when, how and why two or more DDSCOMSs can be used in combination. The answers to these questions are not stated well in the literature. The purpose of this study is therefore to explore the relations among the DDSCOMSs, using a combination of a structured literature review and analytical conceptual research. The study identifies and establishes both direct and indirect relations among the five studied DDSCOMSs. These results assist in nuancing the complex and dynamic relations between the DDSCOMSs, by showing the effects different decisions have on operational performance. The study also points out further research directions, such as the DDSCOMS relations that are under-studied.

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A Historical Review of Postponement Research

Cited by 37 publications

References 40 publications

Toward a Digitally Dominant Paradigm for twenty-first century supply chain scholarship

Toward a Digitally Dominant Paradigm for twenty-first century supply chain scholarship

Optimizing a multiproduct manufacturing system with delayed differentiation, outsourcing, expedited rate, and rework strategies

Demand-driven supply chain operations management strategies – a literature review and conceptual model

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