Production Planning Using Evolving Demand Forecasts in the Automotive Industry

Yıldız, Hakan; DuHadway, Scott; Narasimhan, Ram; Narayanan, Sriram

doi:10.1109/tem.2016.2560162

Cited by 17 publications

(7 citation statements)

References 20 publications

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“…Novelty and relevance of the problem considered is achieved by carefully bounding the problem, relating it to current research and carrying out an investigation that is rigorous. As an example, the author recently carried out a research project with a major automotive supplier that combines rigor, relevance and practical value (Yildiz et al, 2016). Faculty and doctoral students must be encouraged to pursue sponsored research opportunities with industry.…”

Section: Sponsored Researchmentioning

confidence: 99%

The fallacy of impact without relevance – reclaiming relevance and rigor

Narasimhan

2018

EBR

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Purpose The purpose of this paper is to underscore the fundamental importance of relevance to an applied field such as supply chain management (SCM). It is argued that simultaneity of research rigor and relevance is necessary to assert claims of impact. Design/methodology/approach This paper acts as a reflective essay, inductive reasoning and prescriptive framework. Findings Impact needs to be evaluated based on both rigor and relevance, and not exclusively based on whether a paper is published in a “top-tier” journal. Without relevance, academic research in SCM will cease to be of practical importance. Research limitations/implications The primary limitation is that this is a conceptual paper relying on logical arguments. Practical implications The paper exhorts academics in SCM to recognize and insure practical relevance in their research. It develops strong arguments for why such a combined focus is needed and should be encouraged by journals. Originality/value Thought provoking paper intended to change how the field evaluates research for its impact. General strategies for increasing relevance in academic research are offered.

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Section: Sponsored Researchmentioning

confidence: 99%

The fallacy of impact without relevance – reclaiming relevance and rigor

Narasimhan

2018

EBR

Self Cite

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“…2.1. Information-sharing-based SCP model (VIS-P) During the recent years, the vast majority of SCP models considered Information Sharing the key element for improving SC performances (Yildiz, Duhadway, Narasimhan, & Narayanan, 2016). SC players communicate production plans, purchasing orders, customer orders and inventory levels to their SC partners in order to facilitate them in defining the timing of production orders and purchasing orders (Pan, Nigrelli, Ballot, Sarraj, & Yang, 2015).…”

Section: Research Backgroundmentioning

confidence: 99%

Supply chain planning: a quantitative comparison between Lean and Info-Sharing models

Rossini

Portioli

2018

Production & Manufacturing Research

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Both practitioners and scientists recognise importance of supply chain planning (SCP) for improving supply chain (SC) effectiveness and efficiency. Although many SCP policies have been developed in past decades, the debate on the best SCP model is still an open issue. This article compares Lean and Info-Sharing approaches as SCP models, with the aim of allowing a better understanding of pros and cons of each of them and to identify under which condition Info-Sharing is better, and when, on the contrary, Lean is better. To complete this objective, a broad simulation study has been carried out. The results show that Lean Supply Chain Planning model leads to huge inventory saving but, on the other hand, it requires greater transportation efforts than information-sharing-based SCP model. These opposite outcomes do not clarify which models is more efficient but, a set of indexes has been developed in order to solve the gap created by these discordant indications. Managers can use the proposed indexes to position their supply chain in the proposed multi-dimensional space, and see whether info-sharing or Lean is the best for them. A few examples of the use of the set of indexes and the results of the research are presented at the end of the article.

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“…We consider a three-tier supply chain composed of a focal company (part manufacturer in automotive industry), potential suppliers and customers. The automotive industry provides a good context for studying various supply chain problems, including supplier selection and risk management, as many auto manufacturers operate in a JIT environment and expect very high customer service and high reliability from their suppliers even if that means extra costs (Yildiz et al, 2016). We assume that there are multiple customers, but one of these customers is more important than the rest and designated as the "main customer" (see Figure 1), which is quite common for automotive parts manufacturers.…”

Section: Problem Descriptionmentioning

confidence: 99%

Models for supplier selection and risk mitigation: a holistic approach

Yoon

Talluri

Yıldız

et al. 2017

International Journal of Production Research

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133

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With growing emphasis on supply risk, consideration of risk aspects in supplier selection has become an important issue faced by firms. While current literature has proposed a variety of tools and techniques for effective supplier selection, few approaches, if any, are proposed in incorporating risk mitigation strategies in supplier selection decisions. To this end, this paper fills this gap, by considering a variety of risk factors in supplier selection, which are both quantitative and qualitative in nature, and tests the efficacy of alternative risk mitigation strategies in this context. Moreover, we argue that both upstream and downstream risk mitigation strategies should be used simultaneously rather than focusing on a single type of strategy. We further argue that alignment between upstream and downstream risk mitigation strategies is critical in reducing risk. We utilize multi-objective optimization based simulation in building a decision model in the context of this problem setting. We consider data from an automotive parts manufacturer in demonstrating the application of our approach.

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Production Planning Using Evolving Demand Forecasts in the Automotive Industry

Cited by 17 publications

References 20 publications

The fallacy of impact without relevance – reclaiming relevance and rigor

The fallacy of impact without relevance – reclaiming relevance and rigor

Supply chain planning: a quantitative comparison between Lean and Info-Sharing models

Models for supplier selection and risk mitigation: a holistic approach

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