Data-driven operations management: organisational implications of the digital transformation in industrial practice

Abstract

The ongoing digital transformation on industry has so far mostly been studied from the perspective of cyber-physical systems solutions as drivers of change. In this paper, we turn the focus to the changes in data management resulting from the introduction of new digital technologies in industry. So far, data processing activities in operations management have usually been organised according to the existing business structures inside and in-between companies. With increasing importance of Big Data in the context of the digital transformation, the opposite will be the case: business structures will evolve based on the potential to develop value streams offered on the basis of new data processing solutions. Based on a review of the extant literature, we identify the general different fields of action for operations management related to data processing. In particular, we explore the impact of Big Data on industrial operations and its organisational implications.     

Supply chain management: A just-in-time perspective

Just-in-time (JIT) has been a widely recognized production philosophy alternative since the early 1980s. JIT principles and techniques have been widely adopted in many manufacturing firms. More recently, supply chain management has evolved as a discipline focusing on the design, planning and control of processes linking the initial raw materials to the ultimate consumption of the finished product. Supply chain efficiency is dependent on the efficiencies of the individual manufacturing organizations and the ability to connect along the supply chain. In this paper supply chain management from a JIT perspective is investigated, focusing on the linking mechanisms between successive companies and the collective efficiency of the supply chain.     

A simulation study comparing performance of CONWIP and bottleneck-based release rules

Many firms seeking production economies and quicker throughput times have adopted cellular manufacturing techniques. New product introductions, increased product variety and process changes all add elements of uncertainty to the cell, and dynamic management techniques are required to achieve the benefits expected. This paper considers the problem of managing the flow of material into a manufacturing cell in order to maximize the output rate for a given level of work-inprocess inventory. The manufacturing cell is patterned after an Intel facility that assembles and tests microprocessors for the computer industry. The cell is studied under conditions in which a single bottleneck arises and those under which there are multiple bottlenecks. Alternative procedures for releasing material into the cell are evaluated in order to determine which offer the greatest advantage to managers.     

An integrative approach to assess environmental and economic sustainability in multi-tier supply chains

Abstract

Multi-tier supply chain sustainability is paramount to achieve corporate sustainability, due to the significant impacts from organisations beyond the focal firm boundaries and its direct suppliers. However, including environmental considerations within the dominant profit-centric logic of supply chain related decisions is prone to generate sustainability tensions. This work aims to support organisations address tensions between sustainability dimensions by adopting an integrative approach for sustainable supply chain management performance assessment thanks to an innovative eco-intensity based performance assessment method, which achieves a balanced consideration of environmental and economic performance in a weak sustainability perspective. The method, using primary data sourced from actual practice and featuring an indirect multi-tier approach with decentralised responsibilities across organisations, is applied to a case study of a machinery supply chain. The proposed integrative approach can support addressing sustainability tensions in the area of sustainable supply chain management, facilitate sustainable supplier evaluation and identify supply chain hotspots for operational improvement.     

Sustainable planning strategies in supply chain systems: proposal and applications with a real case study in fashion

Abstract

Pollution generated by the fashion industry drives people to pay attention to fashion companies’ sustainability practice. This increase in attention has induced vast literature studying the related area. Since the fashion apparel supply chain is complicated which involves a lot of interrelated steps and decisions, how fashion companies can identify the demand in sustainable fashion and make the right decision in resource allocation throughout the supply chain becomes a critical issue. As a result, this paper examines how a fashion company can develop a successful sustainable planning strategy throughout the sustainable fashion supply chain. The sustainability attributes and the sustainable planning strategy mechanism are also discussed. Based on the institutional theory and resource-based theory, we first analyse the external pressure and internal motivations for companies to adopt a sustainable planning strategy in the fashion supply chain. We then identify the core stakeholders related to the sustainable planning strategy and propose how the decision-making theory can help develop the sustainable supply chain management mechanism. Next, we establish a sustainable planning strategy framework. Finally, via a case study with public data on the fashion giant brand Nike, we explore the application of our proposed sustainable planning strategy framework. The finding suggests that the strategic planning of fashion companies on sustainability can improve the performance of the stakeholders throughout the whole sustainable fashion supply chain.     

Design Principles for Flexible Systems

A fundamental aspect of designing systems with dedicated servers is identifying and improving the system bottlenecks. We extend the concept of a bottleneck to networks with heterogeneous, flexible servers. In contrast with a network with dedicated servers, the bottlenecks are not a priori obvious, but can be determined by solving a number of linear programming problems. Unlike the dedicated server case, we find that a bottleneck may span several nodes in the network. We then identify some characteristics of desirable flexibility structures. In particular, the chosen flexibility structure should not only achieve the maximal possible capacity (corresponding to full server flexibility), but should also have the feature that the entire network is the (unique) system bottleneck. The reason is that it is then possible to shift capacity between arbitrary nodes in the network, allowing the network to cope with demand fluctuations. Finally, we specify when certain flexibility structures (in particular chaining, targeted flexibility, and the “N” and “W” structures from the call center literature) possess these desirable characteristics.     

Evaluating barriers to implementing green supply chain management: An example from an emerging economy

Abstract

This study proposes a fuzzy-based VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) framework for evaluating barriers to implementing green supply chain management (GSCM) in the context of an emerging economy. The methodology uses a mix method approach combining literature review and opinions of some selected managers from the plastic industry of Bangladesh to identify four main-barriers and twenty-five sub-barriers relevant to GSCM implementation. Fuzzy-VIKOR approach was applied to aid in the analysis of the barriers in the plastic industry of Bangladesh. The findings of the study show the order/rank of intensity and severity of the main-barriers to implementing GSCM practices in the plastic industry of Bangladesh as follows: ‘inadequate knowledge and support’, ‘insufficient technology and infrastructure’, ‘financial constraints and unsupportive organizational’ and ‘operational policies’. The results also show the rankings of the sub-barriers under each main barriers. This research contributes to the literature in a number of ways. First, it identifies multi-levels of barriers to GSCM implementation. Secondly, it identifies and proposes alternative action plans (strategies) to help mitigate and implement GSCM practices. Though this study has significant contributions, a number of limitations do exist. The barriers in this study were identified using the extant literature review and industrial managers’ opinions. A more scientific approach and empirical validation is required, especially in the plastic manufacturing industry of Bangladesh to identify more new challenging barriers. However, this study can provide managers with a better understanding of the barriers to implementing GSCM practices and motivate the researchers to further extend the investigation on the insights for developing strategic plans for implementing GSCM practices in the plastic industry of Bangladesh.     

薄煤层煤矿生产车间特殊开采生产技术的复杂性评价

本文介绍了田陈煤矿创新的综采与普机采混合、工作面超长布置、对拉、旋转调采、矩形和梯形不规则形状的薄煤层开采技术;建立了矿井生产系统结构复杂性评价的新尺度;提出了评价方法和系统结构的简约化、复杂性减少原理;并应用此理论与方法对田陈煤矿生产系统结构复杂性评价进行了实证研究。     

A knowledge chain management framework to support integrated decisions in global supply chains

Knowledge management has been identified as a key enabler to achieve organisation’s value chain competitiveness. It, however, has been facing fresh challenges in a global supply chain setting. This paper proposes a global knowledge chain management (GKCM) framework that identifies and prioritises critical knowledge that a global supply chain can focus on to support integrated decisions. The framework explores three types of global context knowledge, namely global market knowledge, global capacity knowledge and global supply network configuration knowledge. Empirical study has been undertaken within the manufacturing industry to evaluate the GKCM framework. Analytic network process has been explored as a key method to assess the importance of the global knowledge constructs from supply chain managers’ perspectives. A key contribution of the paper is that it advances existing knowledge chain management approaches within one organisation and its local supply chain to include the global context knowledge applicable to global manufacturing settings, and highlights how the GKCM framework can support global supply chain integrated decisions.     

我国企业股票激励的瓶颈及其对策研究

股票期权激励在西方国家的许多先进公司得以实施,并取得了很大的成功,而且已呈现出逐步向其它国家蔓延的国际性趋势。面对这股潮流的冲击,我国的一些企业已开始逐步采用这种激励制度,但该制度在我国企业的应用并不理想,存在许多瓶颈性制约因素,必须通过采取完善资本市场环境、建立现代企业制度、规范会计处理、修改法律等措施,保证该制度朝着健康、稳定、有序的方向发展。     

Comparing mining and manufacturing supply chain processes: challenges and requirements

The mineral raw materials industry is essential for manufacturing by providing the basic materials for their value adding processes. In the last decade, the integration of operations of the industry within global manufacturing supply chains has progressed greatly. The processes of the different stakeholders have been extensively analysed and modelled according to standardised frameworks such as the supply chain operations reference (SCOR) model. However, as of today, not all stakeholders are integrated to the same extent. Especially, in the early part of the supply chain, deep integration of the mineral raw materials industry is still an exception. This industry and its processes differ greatly from the average manufacturing company’s processes. Not being directly comparable results in the absence of applications of standardised modelling tools for supply chains like the above-mentioned SCOR model. These circumstances hinder the integration, understanding and exchange between industries that rely significantly on each other. In a first attempt to create a basis for further research, this study analyses, elaborates and compares the challenges and requirements of supply chain processes, with a special focus on sourcing processes, in manufacturing and mining. Based on these findings, an adaption of the SCOR model towards applicability in mining and mining supply processes is presented, followed by a critical discussion of the results and implications, later concluded by a short outlook on further research.     

Measuring agri-food supply chain performance and risk through a new analytical framework: a case study of New Zealand dairy

Abstract

Many researchers and practitioners have long recognized the significance of measuring performance. Although general guidelines for measuring business performance are widely available, no appropriate measurement frameworks have been developed for measuring agri-food supply chain performance. Particularly, food quality and risk-related indicators have not been well integrated into existing performance measurement systems. Our research, therefore, addresses this knowledge gap by first providing an in-depth review of extant performance measurement systems and frameworks. It then develops an analytical framework by extending the Supply Chain Operations Reference (SCOR) model which has been extensively implemented across non-food industries. The analytical framework is further validated by utilizing a case study of 50 farmers and 10 dairy companies, operating in the New Zealand dairy industry.

Our pilot testing and subsequent findings show that the individual metrics interlocked with the analytical framework are in-line with the key industrial practices adapted by the New Zealand dairy industry. In addition, the framework is flexible and scalable to evaluate and benchmark other agri-food supply chains – ranging from fresh products such as fruits and vegetables to processed foods such as canned fruits. The findings further show that the detailed information required for measuring the level-3 SCOR metrics is not easily available in the industry, as researchers need to access specific company records that may be confidential. Consequently, this study provides how agri-food supply chain managers can employ our new analytical framework in-conjunction with the SCOR model for a deeper understanding of the complicated performance measurement indicators applied in their agri-food production systems and relevant supply chains.     

Reengineering of a supply chain management system: A case study

A business process reengineering (BPR) project concerning a supply chain management (SCM) system of a heavy machinery manufacturing company has been discussed in this paper. The BPR implementation process model has been described. The principal objective of this project has been to bring about radical changes in the mind sets, management styles and systems of a very mature but large organization in India. The implementation process has been very successful because the model has been explored by an organizational development initiative. BPR is both feasible and worthwhile in business only when ideas and ideals are put willingly in practice; and is practised in a collaborative mode to get closer to the people, especially at the floor level, and to customers and suppliers.     

Causal factor relations of supply chain competitiveness via fuzzy DEMATEL method for Thai automotive industry

Abstract

The automotive industry is complex and global. An automotive supply chain involves multiple manufacturers and service providers in different parts of the chain across different countries. Diffusion of the global production system creates both opportunities and challenges for the supply chain itself as well as production base countries. Thailand is a production base for over 15 automotive brands. The industry contributes significantly to the Thai economy and employs approximately half a million people. To address competitiveness of the Thai automotive industry, its supply chain is studied in this paper. Ten factors affecting the competitiveness of the Thai automotive supply chain are analysed through the fuzzy DEMATEL method. The method forms a structural model that categorises the causal or effect roles of the factors, and the degree at which they impact the supply chain. This study focuses on Tier 1 and Tier 2 manufacturers of the supply chain. The results reveal that there are three common causal factors and four common effects in both tiers. The other four factors play different roles in different tiers. Managerial implications relating to these factors are also discussed and certain recommendations proposed in order to enhance the competitiveness of the Thai automotive supply chain.     

Supply chain relationship quality and its impact on firm performance

Abstract

This paper examines the impact of supply chain relationship quality (SCRQ) on firm performance (FP) through the mediators of supply chain management processes (SCMP) and supply chain performance (SCP). In the literature, these linkages have been examined separately; in contrast, this study takes a holistic perspective on the antecedents of FP. The model was tested using survey data from manufacturing companies. Variance-based structural equation modelling revealed that both SCMP and SCP lead to FP, unlike SCRQ. On the other hand, SCRQ affects SCMP. Drawing on the resource-based view, consistency in SCRQ can lead to not only efficient and effective supply chain management but also improvements in FP and SCP. This research has practical implications, providing supply chain decision makers with insights on enhancing FP. Supply chain decision makers will be able to benefit from the findings of our study by improving supply chain relationships with supply chain members and ensuring FP. This research also highlights how effective management of SCRQ, SCMP and SCP can provide better FP and a competitive advantage.     

Managing knowledge in supply chains: a catalyst to triple bottom line sustainability

Abstract

Sustainable supply chain management (SSCM) and knowledge management’s (KM) positive role in improving supply chain development and performance have both attracted attention in recent years, the former arguably stimulated by the triple bottom line (TBL). Despite the positive development, there is a paucity of theoretical and empirical studies identifying the broad capabilities that affect a firm’s ability to simultaneously pursue economic, environmental and social success. We use the natural-resource-based (NRBV) and knowledge-based (KBV) views to develop a series of propositions linking KM capability to strategic and operational supply chain sustainability and competiveness and test their veracity with practicing managers (n?=?275). We offer a systematic analysis of KM’s role in the development of SSCM. The findings confirm the credibility of the theoretical propositions and identify how different KM processes specifically facilitate strategic or operational development of SSCs. We provide researchers with a framework to guide future research at the KM/TBL nexus.     

Quality management in outsourced global fashion supply chains: an exploratory case study

Abstract

Outsourcing production is common in the fashion industry but can lead to quality defects. This paper thus sheds light on how quality is managed in outsourced fashion supply chains. We propose a new trilogy for managing quality control in outsourced fashion supply chains: (1) manufacturer quality assessment, (2) quality management in production and (3) quality inspection and assurance. We implement an exploratory case study methodology. Through a qualitative case study of a leading global Japanese fashion retailer that outsources production mainly to China, we contribute to quality management studies by developing a new quality control trilogy for outsourced supply chains. Our findings can provide fashion retailers with guidance on controlling product quality in outsourced supply chains and developing strategies for improving supply chain performance. We also demonstrate the importance of contract and relationship management, supply chain integration and quality visibility in enhancing product and process quality in outsourced fashion supply chains.     

Knowledge management based collaboration moderator services to support SMEs in virtual organizations

Abstract

Collaboration Moderator Services (CMS) are discussed as a Knowledge management service for SMEs operating in a virtual organization (VO). In this research, a CMS supports the pre-creation stage of a VO by quickly identifying potential business opportunities and collaborative partners. Text mining techniques are used to analyze calls for tender documents based on the competencies and areas of interest stored in the shared information about companies in a collaboration pool. A case study of UK-based SMEs demonstrates the application of text mining as a knowledge discovery tool, supporting SMEs at the pre-creation stage of a VO. Results show that text mining can be used to (1) identify possible business opportunities for SMEs in the collaborative network (2) Indicate potential collaborations between pairs of SMEs using link analysis and (3) Raise awareness of business opportunities and possible SME partners for multi-enterprise collaborations using a dimensional matrix.     

Impact of customer loyalty and service operations on customer behaviour and firm performance: empirical evidence from UK retail sector

Abstract

Retail networks are striving to achieve competitive advantage by increasing value through loyalty and efficiency with a focus on service operations. As sales promotions have become an integral part of the retail supply chain planning, customer behavioural aspects based on loyalty and service operations have been challenged greatly. Subsequently, management capabilities, such as planning and timely replenishment, have become complicated tasks for many retail store managers. This study develops a model integrating retail network value and efficiencies with customer behaviour and performance. We validate the model using survey data from prominent U.K. retail store customers. Our data analysis shows that both loyalty and service operation attributes have positive significant impact on customer behaviour, while the service operation mediates the relationship between loyalty and customer behaviour. This result gives a new outlook to build managerial capability based on customer loyalty and service operations. Our results specifically show that the service operation attributes will indirectly influence the customers’ buying behaviour even in the presence of loyalty attribute such as promotion schemes. This result sends a strong signal to retail supply chain managers to offer customised promotions considering local community rather than having uniform sales promotion nationwide.     

6 Structure,Affect and Identity as Bases of Organizational Competition and Cooperation

Abstract

Competing organizations are often defined by their niche overlap or structural equivalence in resource dependence, but the very structure that defines competitors can also identify cooperators. There is a fine line between competition and cooperation, but current theories give insufficient guidance as to which will take place and also contribute to the belief that cooperation between competitors is illegitimate. We show that the legitimacy of these practices, as well the evaluation of their welfare implications, are context bound. Individuals and societies that have been influenced by different theories of competition could reasonably (and have) reach different conclusions as to the legitimacy of competitor cooperation. We then critique extant ideas as to when competitors will cooperate, which rely on industry structure, and suggest instead that perception and social identity are more important in tipping the cooperate–compete balance. We conclude by showing how our arguments inform an important current stream of management research, on the process of institutional change.