The state of decision support systems: A review

Many organisations are now realising that information technology can make a significant contribution to their operations. Recent developments in decision support software are such that the time may have come when information technology will contribute significantly to managerial decision-making. This paper considers these developments alongside the organisational issues involved in decision-making, and the current position of IT in many mature organisations. The conclusion is that the new range of decision support software, whilst opening up further areas for computerised decision support, is unlikely to compete successfully for corporate IT funds. Use of the new tools will be restricted to small, isolated applications.     

A variability taxonomy to support automation decision-making for manufacturing processes

Abstract

Although many manual operations have been replaced by automation in the manufacturing domain in various industries, skilled operators still carry out critical manual tasks such as final assembly. The business case for automation in these areas is difficult to justify due to increased complexity and costs arising out of process variabilities associated with those tasks. The lack of understanding of process variability in automation design means that industrial automation often does not realize the full benefits at the first attempt, resulting in the need to spend additional resource and time, to fully realize the potential. This article describes a taxonomy of variability when considering the automation of manufacturing processes. Three industrial case studies were analyzed to develop the proposed taxonomy. The results obtained from the taxonomy are discussed with a further case study to demonstrate its value in supporting automation decision-making.     

Flexible manufacturing systems performance in U.S. automotive manufacturing plants: a case study

Flexible manufacturing systems (FMS) philosophy is a key weapon in achieving global manufacturing competitiveness. It encompasses a wide range of dimensions to improve all aspects of operational performance metrics. The aim of the study is to examine the current state of flexibility adoption in U.S. automotive manufacturing facilities and its impact on operational performance metrics. It utilizes survey questionnaire developed based on previous work in U.S. manufacturing industry. The survey was originally distributed to 420 facility managers in the U.S. domestic automotive industry. It was revealed that 70% of the respondents had implemented all 15 flexibility dimensions listed in the questionnaire. The data analysis conducted shows that implementation of certain flexibility dimensions will lead to significant improvement in specific operational performance metrics. This considerable finding can be used as a guide for manufacturing managers to achieve certain objectives in operational performance improvement in a rapidly changing environment.     

Achieving manufacturing excellence through the integration of enterprise systems and simulation

This paper discusses the significance of the enterprise systems and simulation integration in improving shop floor’s short-term production planning capability. The ultimate objectives are to identify the integration protocols, optimisation parameters and critical design artefacts, thereby identifying key ‘ingredients’ that help in setting out a future research agenda in pursuit of optimum decision-making at the shop floor level. While the integration of enterprise systems and simulation gains a widespread agreement within the existing work, the optimality, scalability and flexibility of the schedules remained unanswered. Furthermore, there seems to be no commonality or pattern as to how many core modules are required to enable such a flexible and scalable integration. Nevertheless, the objective of such integration remains clear, i.e. to achieve an optimum total production time, lead time, cycle time, production release rates and cost. The issues presently faced by existing enterprise systems (ES), if properly addressed, can contribute to the achievement of manufacturing excellence and can help identify the building blocks for the software architectural platform enabling the integration.     

Optimal timing of investments in advanced manufacturing systems under competition

Large initial investment in advanced manufacturing systems (AMS) makes it imperative to develop economic justification methods. Once the new system has been properly justified, a critical issue facing the firm is the optimal timing of the installation in an industry. In this paper we use a game-theoretic model by which the optimal timing of the investments in AMSs is analysed. The existence of timing equilibria is demonstrated and simple decision rules of optimal strategy are provided. Economic interpretations of the decision rules are subsequently made clear. Finally, illustrative examples are used to demonstrate the correctness and usefulness of the analysis.     

Foreign direct investments in manufacturing by district firms: evidence from the Italian chair district

Manufacturing internationalisation is a phenomenon that currently involves several industrial districts. While the literature on industrial districts is wide, few works analyse the (manufacturing) internationalisation dynamics. This study tries to fill this lack by analysing forms, motivation, obstacles and results of the foreign direct investments carried out in one of the most important Italian districts. The research shows how some of the district leading firms have recently combined local presence with a strategy of internationalisation that also involves manufacturing activities through foreign direct investments. The readers can comprehend the main features of the international manufacturing path that is involving one of the most important Italian industrial districts, i.e. the chair district. The research offers a contribution to an area rather neglected in literature – the district (manufacturing) internationalisation dynamics.     

High value manufacturing (HVM) in the UK: case studies and focus group insights

This paper studies the internal mechanisms that allow organisations to become high value manufacturing (HVM). Using a qualitative methodology, three UK manufacturing companies formed in-depth case studies with semi-structured interviews, observations and historical data. The HVM value matrix of Martinez and co-workers is used to categorise each organisation’s value proposition. Wider benchmarking of the three organisations was carried out against a focus group with an additional seven manufacturing organisations. Thus, data from 10 manufacturing organisations are included in this research. The cases follow the ‘customer intimacy’ HVM discipline. The business processes supporting these value propositions were identified. Interestingly, each organisation’s desired value proposition differs from their current one. ‘Technological integrators’ predominantly rely on new product development (NPD) and Strategy processes, whereas ‘Socialisors’ rely predominantly on Strategy and Customer Relationship processes. Companies can use the findings to better understand their current HVM value proposition and, where necessary, plan their transition to a future desired HVM value proposition.     

Implementation of holonic scheduling and control in flow-line manufacturing systems: die-casting case study

The success of a flow-line manufacturing system depends on effective production scheduling and control. However, it has been found that current flow-line manufacturing scheduling and control algorithms lack the flexibility to handle interruptions or resource breakdowns; hence, system performance drops automatically and rapidly when interruptions occur. The objective of this research is to investigate if the performance of a flow-line manufacturing system can be improved by integrating agent-based, holonic scheduling and production control. A holonic manufacturing scheduling model has been developed and implemented into a die-casting manufacturing flow line throughout a simulation model. The analysis takes into account the comparisons of overall performances of the system models with the holonic scheduling and conventional scheduling approaches. Simulation results indicate that the holonic manufacturing scheduling and control can significantly increase the uptime efficiency and the production rate of the flow-line manufacturing system.     

A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework

Increasing global competition on product quality and production costs, and the need for flexibility in production petition for transformed production processes which enable high level of connectivity and integration between business processes and systems. Much of the conventional computer- integrated efforts and advanced manufacturing technologies are limited in scope and restricted to only some organisational areas. Such limited scope, which stems from limited connectivity and integration between manufacturing and enterprise systems, confines the achievement of full potential of these systems within manufacturing. Industry 4.0, characterised by computing developments, can create a platform for addressing integration challenge through enabling comprehensive connectivity. Hence, this paper, through following deductive research paradigm and using systems theory as the theoretical base, aims to investigate recent academic research and industrial reports in the area of Industry 4.0 and smart manufacturing to provide detailed insights on execution of Industry 4.0, and to propose a theoretical framework for operationalisation of Industry 4.0 in manufacturing.     

On the influence of a biased decision support model on subjects’ behavior

Summary  The role of decision tools in managerial decisions can be crucial. Yet, there is very little research seeking to understand and measure the influence of planning models on decision-makers’ actual behavior or performance. We focus on investigating, in an experimental context, the influence of a decision model (time allocation model) on student subjects’ changes of mind and behavior. Of special interest is the effect of the articulated importance of criteria on subjects’ choices. Furthermore, we have also studied how the above mentioned model influences subjects’ actual (measurable) performance. The results are partly conflicting, though interesting: (1) the (biased) decision model did have a significant influence on the subjects’ choices, (2) when the model provided additional freedom to improve criterion values, the subjects’ choices were rather inconsistent with the articulated importance of criteria, (3) the interpretation is not clear, how plans influence actual behavior, and (4) the subjects did not fully recognize the bias of the model (when present). However, our findings very clearly demonstrate that model developers have a great responsibility. Biased models may guide managers to make dramatically erroneous decisions in bona fide. We hope that our findings generate additional research into this important, but under-researched topic.      

E-business services and business performance: a study of the telecommunications manufacturing industry

The development of information and communication technologies has significantly changed the business interactions as well as created new approaches for improving business performances. While the benefits from this development have been well documented in the literature, it also poses a significant challenge for companies in tracking or further improving e-business services. This article contributes to this body of knowledge by investigating the impact of e-business service dimensions on business performance in the telecommunications manufacturing industry. Based on 121 usable responses from a questionnaire survey of the UK telecommunication manufacturers, structural equation modelling is employed to identify the main e-business service dimensions which affect business performance significantly. The data analysis reveals that two e-business service dimensions significantly influence suppliers’ performance from the buyer's perspective. It also indicates the significant relationships between suppliers’ performance, buyer-perceived buyer–supplier relationship maintenance and the buyer's competitive advantage. The findings in this research not only help the supplier to understand which practices significantly improve its overall performance (as perceived by the buyer), but also assist the buyer in its supplier development efforts to improve its own business performance.     

主动性-被动性员工创新行为:基于分布式领导的作用机制研究

员工创新是企业创新驱动的重要推动力和提升其核心竞争力的关键。当前中国组织情境中,存在着两种不同性质的员工创新行为:主动性员工创新行为和被动性员工创新行为,两者所产生的创新绩效存在巨大差异。然而,现有文献对被动性员工创新行为研究不足,理论研究已经无法适应实践的需要,因此,有必要将两种不同性质的员工创新行为放在一个框架下进行研究,以丰富创新行为的研究内涵。本文以新兴的领导发展取向——分布式领导为切入点,引入组织支持感作为中介变量,上下级关系和价值观匹配作为调节变量,构建了分布式领导对主动性-被动性员工创新行为的作用模型。为了验证该模型,以408名知识型员工为研究对象,通过多元回归分析的方法进行检验,研究结果发现:分布式领导对主动性员工创新行为具有正向影响,对被动性员工创新行为具有负向影响;组织支持感在分布式领导与主动性-被动性员工创新行为之间起中介作用;上下级关系和价值观匹配正向调节分布式领导与组织支持感之间的关系,并进一步验证了有调节的中介作用。同时,上下级关系和价值观匹配交互调节了分布式领导与组织支持感之间的关系。本文研究为解构中国创新管理实践中纷杂多样的创新行为提供了理论诠释,丰富了...     

Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system

Collaborative initiatives such as collaborative design, collaborative planning and forecasting, and open collective innovation are increasingly accepted as approaches that can effectively support decision-making (DM) processes in a range of different industries. However, justifying and demonstrating the benefits of collaborative solutions remains a challenge and has been under-researched. Demonstrating the feasibility of implementing collaborative solutions as opposed to traditional, linear and transactional solutions is even less evident. The purpose of this paper is to conceive a collaborative solution that supports the multi-level DM process in a real, tree-based automotive supply chain environment. The hypothesis presented posits that by sharing information collaboratively, improvements in terms of the profit and service levels will be found within the supply chain and at every supply chain node.     

Understanding the emergence of redistributed manufacturing: an ambidexterity perspective

Abstract

This paper extends operations strategy theory on efficiency and flexibility trade-offs to the emergent phenomenon of redistributed manufacturing (RDM). The study adopts a multiple-case design including five small and five large pharmaceutical firms. We propose that organizations can gain the efficiency benefits of centralized manufacturing and the flexibility advantages of RDM by building an ambidexterity capability. To build such a capability, large firms can structurally partition their manufacturing and supply management functions, with one sub-unit managing centralized production and the other RDM. Smaller enterprises can build an ambidexterity capability by creating the right organizational context, where multi-skilled workers switch between efficient and flexible tasks. This paper contributes to theory by explaining the emergence of RDM using an organizational ambidexterity lens, laying the groundwork for new theory development in the field. We provide managers with a practical example of how to build an ambidexterity capability to realize flexibility and efficiency advantages.     

On the effectiveness of cognitive feedback from an interface agent

The objective of this study was to determine the impact of task information (TI) provided by an interface agent during the idea evaluation and integration step of the problem formulation stage of the problem solving process. The effectiveness assessment was based on solving diagnostic decision problems in the domain of complex industrial machinery. Ten domain experts participated in this study. Decision support was provided by a case-based reasoning system. Findings suggest that TI provided by the interface agent had no effect on the decision maker's performance, nor on the associated cognitive effort. However, a verbal protocol analysis revealed that the ten subjects used the interface agent to verify their decision processes. The results and their implications are discussed with respect to current findings in the area of decision support systems.     

Implementation of S-DBR in four manufacturing SMEs: a research case study

Production planning and control systems (PPCs) are tools that have a major effect on the performance of manufacturing companies. An inappropriate determination of the applicability of PPCs could seriously jeopardise the ability to achieve competitive priorities. This mistake can be expensive for any company, but proper implementation is particularly critical for small and medium enterprises (SMEs), which are characterised by limited access to financial resources. Simplified Drum–Buffer–Rope (S-DBR) is a PPC control approach that is characterised by minimum detail in the planning stage and a primary emphasis on the control of execution. Therefore, this approach is a suitable choice for the highly variable context of SMEs. This study aims to explore the practical issues related to S-DBR implementation in four Ecuadorian SMEs through case study research. The case analysis within this study first identifies the choices made in the implementation process design within the four companies according to process and product characteristics. We then conduct a cross-case analysis to explore the effects of the S-DBR implementation process designs on a group of performance measures. Our research findings provide new insights into the S-DBR implementation process in the context of SMEs, and the effects of this approach on performance measures.     

Confidence deficits and reducibility: Toward a coherent conceptualization of uncertainty level

Outside of the field of risk analysis, an important theoretical conversation on the slippery concept of uncertainty has unfolded over the last 40 years within the adjacent field of environmental risk. This literature has become increasingly standardized behind the tripartite distinction between uncertainty location, the nature of uncertainty, and uncertainty level, popularized by the “W&H framework.” This article introduces risk theorists and practitioners to the conceptual literature on uncertainty with the goal of catalyzing further development and clarification of the uncertainty concept within the field of risk analysis. It presents two critiques of the W&H framework's dimension of uncertainty level—the dimension that attempts to define the characteristics separating greater uncertainties from lesser uncertainties. First, I argue the framework's conceptualization of uncertainty level lacks a clear and consistent epistemological position and fails to acknowledge or reconcile the tensions between Bayesian and frequentist perspectives present within the framework. This article reinterprets the dimension of uncertainty level from a Bayesian perspective, which understands uncertainty as a mental phenomenon arising from “confidence deficits” as opposed to the ill-defined notion of “knowledge deficits” present in the framework. And second, I elaborate the undertheorized concept of uncertainty “reducibility.” These critiques inform a clarified conceptualization of uncertainty level that can be integrated with risk analysis concepts and usefully applied by modelers and decisionmakers engaged in model-based decision support.     

基于OWG算子的不同形式偏好信息 的群决策方法

具有不同形式偏好信息的群决策是决策分析及群决策支持系统研究的一个新课题,它对 于进一步提高群决策支持系统的实用性和灵活性方面具有重要意义. 针对这类群决策分析,提 出了一种具有效用值、序关系值、模糊互补判断矩阵、互反判断矩阵等4 种形式偏好信息的群 决策方法. 在该方法中,首先给出了将不同形式的偏好信息均转化为互反判断矩阵形式的计算 公式;然后基于OWG算子将各决策者的偏好信息集结为群的偏好并进行方案的优选;最后给 出了一个算例.     

New manufacturing technology implementation: a study of the Thai automotive industry

The purpose of this study is to develop the conceptual framework for new manufacturing technology (NMT) implementation. Scales representing management activities within four stages (adoption, pre-implementation, implementation, and post-implementation evaluation) of the framework were developed. Data from the survey of 149 Thai automotive manufacturers were used to test for content validity and reliability of those scales. Then, factor analysis was applied to validate and confirm the construction of the framework of each stage. The result of data analysis indicates four stages of NMT implementation, consisting of (a) determining reasons for NMT adoption, (b) monitoring and justifying whether a certain NMT should be adopted, (c) adapting an existing organisational culture while implementing proper project management approach, and (d) evaluating an effectiveness of NMT implementation. This finding can be adopted by the manufacturers to assist them in the adoption and implementation of NMT in their manufacturing environment.     

Manufacturing strategies and financial performance—The effect of advanced information technology: CAD/CAM systems

Nowadays, the business environment is characterized by great uncertainty and variability. In this environment, information technology (IT) has proved to be an important strategic ingredient for the creation of competitive advantage. This role of IT has been widely accepted during the past few years [Feeny D. Creating and sustaining competitive advantage with IT. In: Earl M, editor. Information management the strategic direction. Oxford, 1990; Ives B. Wingtip Courriers, Southern Methodist University Case Study #SMY/MIS/90-01, Edwin L. Cox School of Business, Dallas, TX, January 1990].