Elastic manufacturing: provisioning and deprovisioning production capacity to vary product volume and mix

IF 7.1 2区 管理学 Q1 MANAGEMENT
Sudhir Rama Murthy, Thayla Tavares Sousa-Zomer, Tim Minshall, Chander Velu, Nikolai Kazantsev, Duncan McFarlane
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Abstract

Purpose

Advancements in responsive manufacturing have been supporting companies over the last few decades. However, manufacturers now operate in a context of continuous uncertainty. This research paper explores a mechanism where companies can “elastically” provision and deprovision their production capacity, to enable them in coping with repeated disruptions. Such a mechanism is facilitated by the imitability and substitutability of production resources.

Design/methodology/approach

An inductive study was conducted using Gioia methodology for this theory generation research. Respondents from 20 UK manufacturing companies across multiple industrial sectors reflected on their experience during COVID-19. Resource-based view and resource dependence theory were employed to analyse the manufacturers' use of internal and external production resources.

Findings

The study identifies elastic responses at four operational levels: production-line, factory, company and supply chain. Elastic responses that imposed variable-costs were particularly well-suited for coping with unforeseen disruptions. Further, the imitability and substitutability of manufacturers helped others produce alternate goods during the crisis.

Originality/value

While uniqueness of production capability helps manufacturers sustain competitive advantage against competitors during stable operations, imitability and substitutability are beneficial during a crisis. Successful manufacturing companies need to combine these two approaches to respond effectively to repeated disruptions in a context of ongoing uncertainties. The theoretical contribution is in characterising responsive manufacturing in terms of resource heterogeneity and resource homogeneity, with elastic resourcing as the underlying mechanism.

弹性生产:提供和削减生产能力,以改变产品数量和组合
目的 过去几十年来,响应式制造技术的进步一直在为企业提供支持。然而,制造商现在是在持续不确定的背景下运营的。本研究论文探讨了一种企业可以 "弹性 "提供和削减生产能力的机制,使其能够应对反复出现的干扰。这种机制得益于生产资源的可模仿性和可替代性。设计/方法/途径本理论生成研究采用 Gioia 方法进行归纳研究。受访者来自英国 20 家制造业公司,涉及多个行业领域,他们对自己在 COVID-19 期间的经历进行了反思。研究采用了资源观和资源依赖理论来分析制造商对内部和外部生产资源的使用情况。研究结果该研究确定了生产线、工厂、公司和供应链四个运营层面的弹性响应。施加可变成本的弹性对策尤其适用于应对不可预见的干扰。此外,制造商的可模仿性和可替代性有助于其他企业在危机期间生产替代产品。原创性/价值在稳定运营期间,生产能力的独特性有助于制造商保持对竞争对手的竞争优势,而在危机期间,可模仿性和可替代性则是有益的。成功的制造企业需要将这两种方法结合起来,以有效应对持续不确定性背景下的反复干扰。该理论的贡献在于从资源异质性和资源同质性的角度描述了反应型制造的特点,并将弹性资源配置作为基本机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
13.30
自引率
17.20%
发文量
96
期刊介绍: The mission of the International Journal of Operations & Production Management (IJOPM) is to publish cutting-edge, innovative research with the potential to significantly advance the field of Operations and Supply Chain Management, both in theory and practice. Drawing on experiences from manufacturing and service sectors, in both private and public contexts, the journal has earned widespread respect in this complex and increasingly vital area of business management. Methodologically, IJOPM encompasses a broad spectrum of empirically-based inquiry using suitable research frameworks, as long as they offer generic insights of substantial value to operations and supply chain management. While the journal does not categorically exclude specific empirical methodologies, it does not accept purely mathematical modeling pieces. Regardless of the chosen mode of inquiry or methods employed, the key criteria are appropriateness of methodology, clarity in the study's execution, and rigor in the application of methods. It's important to note that any contribution should explicitly contribute to theory. The journal actively encourages the use of mixed methods where appropriate and valuable for generating research insights.
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