Operations management in high value manufacturing

This paper explores the issue of high value manufacturing from an operations management perspective and discusses the critical role that the operations management community must play in moving manufacturing organisations to 'higher value ground'. An exploratory study was carried out in two phases. In Phase 1 existing literature was examined following a systematic review process. This was followed by a stakeholder analysis that included manufacturing companies, government agencies and consultancies and case studies of three organisations that had recently repositioned their businesses. Phase 2 comprised of a focus group based industry consultation exercise. The aim of the second phase was to validate and refine the findings from the initial phase and to generate the key ideas that would inform a future research agenda. This paper provides the foundation for further research by identifying those operational issues that are affecting industry as it seeks to move to higher value ground

Operations capability, productivity and business performance: the moderating effect of environmental dynamism

Purpose – The purpose of this study is to investigate the relationships between operations capability, productivity and business performance in the context of environmental dynamism. Design/methodology/approach – A proposed conceptual framework grounded in the resourcebased view (RBV) and dynamic capability view (DCV) is analysed using archival data from 193 automakers in the UK. Findings – The results show that operations capability, as an important dynamic capability, has a significant positive effect on productivity, which in turn leads to improved business performance. The results also suggest that productivity fully mediates the relationship between operations capability and business performance, and that environmental dynamism significantly moderates the relationship between operations capability and productivity. Practical implications – The research findings provide practical insights that will help managers develop operations capability to gain greater productivity and business performance in a dynamic environment

Portraying managerial dynamic capabilities : a case study in the fast-moving consumer goods industry

This paper presents a case study describing the managerial dynamic capabilities of a firm in the highly competitive fast-moving consumer goods industry and their effects in the performance of the firm and the industry. Managerial dynamic capabilities are processes of managerial decision-making, extending throughout the firm, to determine which particular resources managers identify as strategically important and how they build them. The case study, which was developed with a management team during a period of one year, involved a detailed analysis of the resources perceived strategically relevant and the operating policies aimed at maintaining an adequate balance of the set of key resources. In other words, this paper describes what Winter (2003) defines as 'how we earn our living now' or 'zero-level' capabilities

Special Session on Industry 4.0

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Decision support for build-to-order supply chain management through multiobjective optimization

This paper aims to identify the gaps in decision-making support based on multiobjective optimization for build-to-order supply chain management (BTOSCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting multiobjective optimization (MOO) techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted and future research directions to better exploit the decision support capabilities of MOO are proposed

Evaluating demand driven MRP: a case based simulated study

This study evaluates the assumption underpinning Material Requirements Planning (MRP), buffer management and DDMRP before analysing the case company and evaluating the potential benefits, utilizing simulated data from the existing ERP system. The purpose of this research is to evaluate DDMRP in the context of improving the performance of a printing ink manufacturing company. The main issues the company is facing using a traditional MRP system include poor due-date performance, stock levels not corresponding to the actual market needs and overall system instability leading to inefficiencies. The findings indicate the potential of DDMRP to improve system stability and product availability

"The Strategic Effects of Firm Sizes and Dynamic Capabilities on Overseas Operations: A Case-based Comparison of Toyota and Mitsubishi in Thailand and Australia"

In international business, much attention has been directed to the international expansion of firms based on their use of resources and competitive capabilities that have been built up in a home country to create a competitive advantage over host-country firms. More recently, the organizational capabilities and competitive advantages of Japanese manufacturing firms in general (in autos, electronics, etc.) have been analyzed as important factors in the establishment of overseas transplants. The theoretical framework of the overseas application of home-country management resources has been effective as a basic tool in analyzing the fundamental issue of international operations of the firm. However, the existing models, which tend to emphasize application of country-specific resources, does not sufficiently explain the frequently encountered question of why multinational enterprises (following, MNEs) from the same home country pursue different strategic paths and actions when managing overseas operations. The present paper attempts to incorporate a dynamic and firm-specific perspective and empirically analyze how differences in the financial resources and organizational capabilities of MNEs from the same home country affect the strategy and competitive behavior of their operations in the same local country. The analysis will center on the two Japanese auto assemblers, specifically Toyota Motor Corporation and Mitsubishi Motors Corporation, which have local production facilities in both Australia and Thailand. These two countries provide interesting case studies because in both the local operations experienced a serious crisis in recent years. The crisis for local auto producers in Australia began in the 1980s with the removal of protectionist policies and the rapid liberalization of the auto market. In Thailand, exceedingly severe conditions for local auto assemblers were caused by the 1997 Asian economic crisis. The present paper will focus its attention on the differences in the responses by Toyota and Mitsubishi to these crises, which we characterize as "larger competent firm" and "smaller competent firm" respectively. The two firms in question have both maintained international competitiveness in production in their common home country of Japan, in addition to building top-level local competitiveness in their Australian and Thai operations. However, when faced with a growth opportunity and a subsequent crisis, the responses of the local operations of the firms were markedly different. It is anticipated that behind these differences in firm conduct lie interfirm differences in firm scale (i.e. financial power) and dynamic organizational capabilities (e.g., capability-building capability) in their home country. The present paper will attempt to delineate these interfirm differences and their effects on firm conduct to explain why two firms from the same home country would show such different patterns of conduct even though they face the same local opportunities and crises.

Discontinuity in the Environment, Firm Response and Dynamic Capabilities

This paper identifies and focuses on a specific type of environmental development called discontinuity. Discontinuities in the forms of rapid technological innovations, regulatory reforms, institutional overhauls, and socio-cultural developments are the source of opportunities and threats to the firm. Firm responds to these discontinuities in specific ways in sustaining its existence at different points of time. This paper conceptualizes discontinuity and identifies its natures; explores the possible types of responses by the firm, and their enablers. The capability of sensing, seizing and re-shaping are captured to establish the linkages in the framework of interrelations. It posits a set of propositions based on conceptual development and illustration of two cases.

Decision support for build-to-order supply chain management through multiobjective optimization

This is the post-print version of the final paper published in International Journal of Production Economics. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2010 Elsevier B.V.This paper aims to identify the gaps in decision-making support based on multiobjective optimization (MOO) for build-to-order supply chain management (BTO-SCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting MOO techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted. Future research directions to better exploit the decision support capabilities of MOO are proposed. These include: reformulation of the extant optimization models with a MOO perspective, development of decision supports for interfaces not involving manufacturers, development of scenarios around service-based objectives, development of efficient solution tools, considering the interests of each supply chain party as a separate objective to account for fair treatment of their requirements, and applying the existing methodologies on real-life data sets.Brunel Research Initiative and Enterprise Fund (BRIEF