INSTRUCTING OPERATIONS DESIGN: AN EXPERIENTIAL APPROACH

Teaching an operations design course has major pedagogical challenges. (1) The design topics—output, process, facility, and work design—are necessarily taught sequentially, yet the decisions are integrative. (2) Instruction must be generic to service or product producers. (3) Discussing output design is difficult since students typically have had no exposure to the “product language” of engineering graphics. (4) No text is available which examines in sufficient depth all the operations design decisions. (5) Cases necessarily depict historical situations—process technologies and economic data—while operations managers must plan future directions for their productive systems. (6) While the commercial world contains fresh information and data, students are inexperienced in obtaining knowledge from the real world. (7) While the course presents an operations management perspective, students must recognize the information, data, and cooperation necessary from the other functional areas to successfully complete the operations design. To help overcome these seven pedagogical challenges, the students in the undergraduate and graduate operation design courses complete a comprehensive feasibility study for a new product or service and the entire productive system.     

Accounting Performance and Capacity Investment Decisions: Evidence from California Hospitals

Capacity decisions involve trade‐offs between the cost of capacity and the opportunity costs of lost sales. Accounting researchers posit that accounting performance provides sufficient information about these trade‐offs and thus can be used to formulate simple rules to assist capacity decisions. Empirical research has not examined the role of accounting information in capacity investment decisions at the department level in a multiproduct firm in the presence of social costs. Empirical analyses using department‐level data from California hospitals for the period 1998–2005 show that hospitals are more likely to make capacity investments in departments with high accounting performance. However, in the presence of demand variability, the association between accounting performance and capacity investment is attenuated because of the resulting increase in noise in accounting performance measures. Thus, the weight on accounting performance as a decision tool for capital investments reduces when there is demand variability. Another factor that reduces the weight on accounting performance is capacity utilization. Higher capacity utilization can lead to turning away or rerouting of patients to other hospitals and negatively impacts reputation and quality of care, which increases the hospital's social costs. Hence, hospitals do not require high accounting performance before investing in a department with high capacity utilization. This empirical evidence of the role of accounting performance in capacity investment decisions fills a gap in the capacity investment literature and furthers our understanding of the interactions between accounting performance and the operational determinants of firms’ capacity investment behavior.     

CATEGORY WIDTH COGNITIVE STYLE AS A FACTOR IN ACCOUNTANTS' PERCEPTIONS OF ACCOUNTING INFORMATION

This paper reports the findings of a laboratory experiment designed to investigate the relationship of category width (CW) cognitive style with accountants' perceptions of accounting information. Subjects drawn from large accounting firms in Sydney, Brisbane, and Melbourne, Australia, were classified into broad, medium, and narrow categories following the test devised by Pettigrew [19]. Subjects were requested to state their level of confidence in decisions they had made after receiving (1) conventional accounting information or (2) conventional accounting information and human resources accounting (HRA) information using a one-group pretest-posttest design. The results indicated a significant relationship between CW cognitive style and the accountants' confidence in their decisions. Furthermore, CW cognitive style moderated the accounting-information/decision-making relationship.     

The Information Problems in Organizations: A Research Model for the Value of Information and Information Systems*

Growing recognition of the need for better management information system (MIS) theory and practice centers around problems with identifying the value of information and information systems in organizations. This paper addresses this issue by showing that existing theory in organizational economics and industrial organization directly relates to information problems in organizations (their nature, and their effects in terms of organization structure and performance). The paper categorizes these problems and associated theories into four distinct classes and shows that MIS research and practice can be mapped to information problems of each type. Because the economic theory pertinent to specific information problems includes the nature of the organizational response to information constraints, it also provides insight into the nature of the improvement to be realized if information constraints can be overcome. These improvements can then be interpreted as the value of the associated information systems which suggests using the resultant classification scheme to map between information problems and system value. The paper shows that this methodology provides a more appropriate level of focus than either traditional normative or business value methods, especially because many improvements have structural as well as performance consequences.     

Application of TOC/OPT rules in a medium sized shop

Abstract

Abstract. Theory of constraints (TOC) and optimized production technology (OPT) are frequently presented as the better options for production control systems. Despite this enthusiasm, there is very little literature on how these principles can be implemented in practice without having to resort to the expensive proprietary software. In this paper we present a case study in which the OPT/TOC ideas were implemented without using the software. Management's major concern was reduction of work in process and increased delivery performance. It was decided to test whether the ideas of OPT/TOC were applicable in this environment and more importantly to which extent these two performance measures could be improved. The paper reports on the methodology used to test the OPT/TOC ideas in this shop and presents some early results of improvement, as well as some new problems which arose due to the new approach.     

Development of an integrated information management model: A case of textile industry

For past two decades many organisations have tried to implement integrated information management systems for better production management based on co-ordination of information and therefore activities of different departments. Although Enterprise Resource Planning systems have been in the market for the past decade, many industries find it difficult to implement such systems due to the amount of work involved in streamlining the documentation, customisation and of high costs reported in implementation. An attempt is made through this paper to propose an integrated model, which can be easily understood by production personnel, with specific emphasis on the textile sector.     

A Simulation Study of Sequencing Rules in a Kanban-Controlled Flow Shop*

This paper addresses the problem of sequencing in decentralized kanban-controlled flow shops. The kanban production control system considered uses two card types and a constant withdrawal period. The flow shops are decentralized in the sense that sequencing decisions are made at the local workstation level rather than by a centralized scheduling system. Further, there are no material requirements planning (MRP)-generated due dates available to drive dispatching rules such as earliest due date, slack, and critical ratio. Local sequencing rules suitable for the decentralized kanban production-control environment are proposed and tested in a simulation experiment. These rules are designed so that they can be implemented with only the information available at the workstation level. Example sequencing problems are used to show why the shortest processing time rule minimizes neither average work-in-process inventory nor average finished-goods withdrawal kanban waiting time. Further, it is shown how work station supervisors can use the withdrawal period, in addition to the number of kanbans, to manage work-in-process inventories.     

Enterprise systems and performance of future city logistics

Abstract

Future cities are driven by the developments in Information and Communication Technology to support the triple bottom line requirements of sustainability. Logistics will play a critical role in future cities due to the increasingly micro-dynamic nature of socio-economics of these cities and globalised production and consumption patterns. Enterprise systems (ES), the founding applications to automate and integrate different business processes, will be the key enablers for providing the necessary support required by the future city logistics. However, the implementation of ES and realisation of proposed benefits within the estimated time frame is challenging due to the huge resource requirements in terms of manpower, budget and time. This study takes the antecedent (critical success factors) approach for the implementation process to establish a success predictive model for the realisation of ES benefits. The partial least square regression has been used to test the model. Moreover, this study explores the impact of ES benefits on the logistics performance indicators to explore the synergies between them. This is fundamentally important because future city logistics will rely heavily on appropriately designed and implemented (enterprise) information systems.     

Interorganizational Collaborative Forecasting and Replenishment Systems and Supply Chain Implications

Collaborative Forecasting and Replenishment (CFAR) is a new interorganizational system that enables retailers and manufacturers to forecast demand and schedule production jointly. The capabilities of CFAR exceed those of the traditional EDI because CFAR allows exchange of complex decision support models and manufacturer/retailer strategies. The proponents of CFAR claim that the fastest way for retailers and manufacturers to slash inventory costs and product shortages is by coordinating their decisions. The impact of CFAR on the supply chain using a model consisting of a manufacturer selling its product through two independent identical retailers is analyzed. The model assumes that the manufacturer doesn't face capacity constraints, the demand is stationary, and retailer prices are constant over time; the shortages are backordered at the manufacturer and retailers to isolate the effects of information sharing in CFAR. The most significant findings relate to the increase in the cost incurred by the nonparticipant in CFAR, the increase in the manufacturer's cost of serving the nonparticipant if the participant can obtain delivery guarantees in return for demand information sharing, and the incentives of the players to move towards universal retailer participation in CFAR. The findings are explained using the risk structure faced by the players in the supply chain. The managerial implications of the impact of CFAR on the supply chain structure are also discussed.     

The Value of Supplier Information to Improve Management of a Retailer's Inventory

The distribution of lead time demand is essential for determining reorder points in inventory systems. Usually, the distribution of lead time demand is approximated directly. However, in some cases it may be worthwhile to take the demand per unit time and lead time into account, particularly when specific information is available. This paper deals with the situation where a supplier, who produces on order in fixed production cycles, provides information on the status of the coming production run. The retailer can use this information to gain insight into the lead-time process. A fixed order (s_vQ) strategy is presented, with a set of reorder points s_v depending on the time t until the first possible delivery, which is determined by the information of the supplier. A Markov model that analyzes a given (s_vQ) strategy is used to quantify the value of the information provided by the supplier. Some numerical examples show that the approach may lead to considerable cost savings compared to the traditional approach that uses only one single reorder point, based on a two-moments approximation. Using this numerical insight, the pros and cons of a more frequent exchange of information between retailers and suppliers can be balanced.     

PROCEDURES FOR DETERMINING RELATIVE FREQUENCIES OF PRODUCTION/ORDER IN MULTISTAGE ASSEMBLY SYSTEMS*

We show that the problems of determination lot sizes in a multistage assembly system for the case of instantaneous production and constant demand for the end item can be reduced to the problems of determining relative frequenceis of production/order for items at each production stage. We further show that such frequencies are independent of the demand levels. Optimal and near-optimal solution procedures for this reduced problem are provided. The near-optimal procedure successively treats each stage of production as a final production stage while simulatenously incorporating decisions made at lower stages into decisions made at higher stages. Experimental results show that the near-optimal procedure results in optimal solutions 75 percent of the time and performs considerably better than representative heuristics available in the literature. Further, its performance is relatively less susceptible to product/structural characteristics of the system.     

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.     

Subordinate Participation in Audit Budgeting Decisions: A Comparison of Decisions Influenced by Organizational Factors to Decisions Conforming with the Vroom-Jago Model*

This study examines the role of subordinate participation in the effectiveness of audit hours budget decisions in accounting firms. The study compares decisions influenced by organizational factors (such as organizational policies or the preferences of the superior) to decisions that conform to the Vroom-Jago (VJ) model. Our results indicate that actual level of participation used in budget decisions appears to be based primarily on perceived preferences of superiors and participation styles available under the circumstancesof the individual audit. However, results also indicate that decisions consistent with the Vroom-Jago model are characterized by higher decision quality and increased subordinatedevelopment. Since managers are apparently reluctant to use decision styles that conflictwith organizational factors, accounting firms may wish to gather information regarding the attributes of the decision context and use the VJ model to establish their available decision styles and determine the preferences of superiors. Doing so has the advantage of considering decision-specific attributes while enhancing the probability of manager compliance with a desired decision style.     

Issues in end-of-life product recovery and reverse logistics

There is a fundamental shift in waste management responsibility from the private waste management industry and local governments towards manufacturers, distributors, and retailers. In recent years the responsibility of manufacturers has been extended to cover the entire life of certain products. This also includes responsibility for the products safe disposal. As the enforcement of environmental legislation becomes more stringent and an increasing number of customers are demanding take-back of their old products, companies are beginning to focus on possible distribution channels for the return of their products i.e. reverse logistics. The aim of this paper is to examine the emerging issues in reverse logistics, in particular the information requirements for reverse logistics within the Extended Enterprise. A study of end-of-life vehicles (ELVs) will illustrate the specific information flow between the key players within the automotive industry. This paper addresses the initial development of possible distribution channels, their key operational decisions and supporting information systems for the recycling of end of life products.     

An integrated supplier-buyer model for improving supply chain coordination

This study develops a decision support model that can be used by a supplier in making production and price decisions at contract renewal times in a supply chain environment. The supplier first makes aggregate production decisions with a special attempt to estimate buyer commitments, and then determines the price of the item so as to satisfy his own profit and buyer cost reduction expectations simultaneously. Mathematical programming models are designed to achieve these in accordance with the contract terms. The main emphasis is placed upon the conceptual and negotiation aspects of the models, and some solution procedures are cited from previous studies. Then the approach is implemented in the biggest electric motor manufacturer in Turkey which has a large number of buyers in household appliances sector, and it is shown to be a useful tool for developing fair partnership.     

Bi-objective multi-resource scheduling problem for emergency relief operations

Abstract

Resource scheduling for emergency relief operations is complex as it has many constraints. However, an effective allocation and sequencing of resources are crucial for the minimization of the completion times in emergency relief operations. Despite the importance of such decisions, only a few mathematical models of emergency relief operations have been studied. This article presents a bi-objective mixed integer programming (MIP) that helps to minimize both the total weighted time of completion of the demand points and the makespan of the total emergency relief operation. A two-phase method is developed to solve the bi-objective MIP problem. Additionally, a case study of hospital network in the Melbourne metropolitan area is used to evaluate the model. The results indicate that the model can successfully support the decisions required in the optimal resource scheduling of emergency relief operations.     

ORGANIZATIONAL CONTEXT,USER INVOLVEMENT,AND THE USEFULNESS OF INFORMATION SYSTEMS*

This study investigates organizational factors related to user involvement in information system development and perceived system usefulness. Using a sample of 118 usermanagers in 34 companies, the results show that user involvement in design and implementation is related positively to users' perceptions of system usefulness. However, organizational factors were not found to be related significantly to user involvement, as had been originally hypothesized. Rather, organizational factors either had a direct relationship with perceived usefulness or moderated the relationship between involvement and usefulness. Two factors reflecting an MIS department's maturity (size and age) were found to reduce users' perceptions of system usefulness. Also, users at higher levels and those making more structured decisions found their systems more useful, although the user's level was found to moderate perceptions of system usefulness during the design stage. Three other organizational factors (level of MIS manager, MIS department scope, and decentralization of authority) also were found to have moderating effects.