Optimizing lot size and setup time in a JIT environment: a multiple objective application

The just-in-time (JIT) system has been studied extensively and implemented by a number of US firms as an ell'ective production system. The core of JIT involves determination of lot size and setup time reduction so as to increase manufacturing flexibility while minimizing the inventory level. This decision problem usually involves multiple conflicting objectives and mixed-model production. In this paper, goal programming (GP) is applied to a real-world JIT problem involving fabrication of different automotive and industrial rubber composite belts. The model results provide new insights concerning the conflicting nature of several goals, especially between meeting demand and reducing setup or idle time. Also, the GP solution is superior to the current JIT practice of the company.     

Goal directed benchmarking for organizational efficiency

In this paper, we extend the standard data envelopment analysis (DEA) model to include longer term top management goals. This extension is in recognition of the fact that benchmarking for decision making units (DMUs) is more than a purely monitoring process, and includes a component of future planning. The new model uses a goal programming structure to find points on the efficient frontier which are realistically achievable by DMUs, but at the same time achieving a closer approach to long term organizational goals (as distinct from the local performance of individual DMUs). Consideration is given to the possibility of adjusting constraints on the DMU by investment in extended inputs or new technologies, in which case minimization of associated investment costs becomes an additional management objective.     

A multiple goal methodology for evaluating management information systems

The behavior and performance of an organization are intimately tied to the mode and effectiveness of its information processing function. While there is a rapidly expanding level of research concerned with the design, development, and implementation of management information systems (MIS), relatively few approaches to the evaluation and improvement of these systems have been suggested. The current paper develops a multiple goal methodology aimed at filling this gap by evaluating and, if necessary, subsequently modifying any given set of MIS design variables considered capable of enhancing a series of operational and, perhaps, conflicting goals. The methodology is based on a series of significant findings from the MIS design literature. In particular, the procedure incorporates the tripartite of decision type/decision-maker/MIS design into the evaluation process. The methodology is user-based, being flexible with respect to the definition of performance objectives, evaluation measures, design variables, and correction strategies. A brief example applies the methodology to the evaluation of an MIS within a health services organization.     

An extension of the Electre I method for group decision-making under a fuzzy environment

Many real-world decision problems involve conflicting systems of criteria, uncertainty and imprecise information. Some also involve a group of decision makers (DMs) where a reduction of different individual preferences on a given set to a single collective preference is required. Multi-criteria decision analysis (MCDA) is a widely used decision methodology that can improve the quality of group multiple criteria decisions by making the process more explicit, rational and efficient. One family of MCDA models uses what is known as “outranking relations” to rank a set of actions. The Electre method and its derivatives are prominent outranking methods in MCDA. In this study, we propose an alternative fuzzy outranking method by extending the Electre I method to take into account the uncertain, imprecise and linguistic assessments provided by a group of DMs. The contribution of this paper is fivefold: (1) we address the gap in the Electre literature for problems involving conflicting systems of criteria, uncertainty and imprecise information; (2) we extend the Electre I method to take into account the uncertain, imprecise and linguistic assessments; (3) we define outranking relations by pairwise comparisons and use decision graphs to determine which action is preferable, incomparable or indifferent in the fuzzy environment; (4) we show that contrary to the TOPSIS rankings, the Electre approach reveals more useful information including the incomparability among the actions; and (5) we provide a numerical example to elucidate the details of the proposed method.     

A Learning Real Options Framework with Application to Process Design and Capacity Planning

This paper studies the impact of learning on a multi‐staged investment scenario. In contrast to other models in the real options literature in which learning is viewed as a passive consequence of the delay period, this paper quantifies information acquisition by merging statistical decision theory with the real options framework. In this context, real option attributes are discussed from a Bayesian perspective, thresholds are identified for improved decision‐making, and information's impact on downstream decision‐making is discussed. Using real data provided by a firm in the aerospace maintenance, repair, and overhaul industry, the methodology is used to guide a multi‐phased irreversible investment decision involving process design and capacity planning.     

互动公平、委员会决策程序公平与员工决策承诺:基于公平启发理论与不确定管理理论的实证研究

借助层级团队形式制定决策,决策者能激发员工的决策承诺,确保决策的有效执行。以委员会作为决策者的层级团队为例,本文探讨了以下问题:当存在个体对自身胜任力的自信、专用性人力资本投资这两个因素的影响时,互动公平与委员会决策程序公平效应及它们之间的交互效应会发生什么变化?引入公平启发理论与不确定管理理论,本文假设并检验了上述四个因素如何交互作用于员工决策承诺。以两家大型商业银行信贷业务人员为研究对象,实证研究表明:(1)自信和专用性人力资本投资对委员会决策程序公平效应有着显著调节作用,但它们对互动公平效应的调节作用不显著;(2)当存在自信和专用性人力资本投资的影响时,较强的互动公平与委员会决策程序公平之间的交互效应更稳定一些,而较低的互动公平感知与程序公平之间的交互效应在方向上发生变化。本文有助于管理者理解"公平何时能引致员工合作"这一问题,帮助其更好地把握决策过程以获得员工对其决策的支持。本研究的假设完全基于公平启发理论(FHT)和不确定管理理论(UMT)的理论逻辑做出,实证结果与FHT和UMT的理论预测以及已有实证研究结果相一致,这意味着本研究具有较高可信性和可靠性,能为进一步理论探索提供了比较坚实的基础。     

THE EFFECTS OF VARIABLE AND FIXED TRANSACTION COSTS ON OPTIMAL INVESTMENT DECISIONS

This paper studies the impact of variable and fixed transaction costs on investment decisions under conditions of risk. The decision model is first formulated as a mixed-integer nonlinear program. The following subjects are then examined: the structure of the investment frontier facing the investor and the effects of transaction costs on this frontier, the impact of transaction costs on the investor's optimal investment strategy, and the conditions for the equilibrium structure of risky asset prices and risk-return relationships. The main finding is that the relaxation of the assumption of the absence of transaction costs eliminates some of the most unattractive implications of the classic capital asset pricing model (CAPM) while preserving the more attractive implications of this model. Also, our model provides explanations for some discrepancies between the theoretical CAPM and empirical findings and, therefore, is a step toward narrowing the gap between theory and practice.     

AN ADAPTIVE DECISION SUPPORT SYSTEM FOR ACADEMIC RESOURCE PLANNING

Institutions of higher learning are growing increasingly interested in the use of model-based approaches to their resource allocation problems. Recent modeling approaches, however, have failed to consider that resource allocation planning is not a well-structured decision process. Additionally, many decision makers are necessarily involved in the academic planning process and may assume dissimilar perspectives on the importance of achieving different goals and objectives. Furthermore, satisfactory allocation solutions can be expected to vary considerably from decision maker to decision maker as the individual's cognitive processes, perceptions, and evaluations are taken into consideration. This paper describes a decision support system (DSS) approach that attempts to adapt to a variety of academic decision makers with differing planning views in an environment of multiple conflicting objectives. This DSS, which was successfully tested on four academic decision makers in a large midwestern university, shows considerable promise for providing decision support to decision makers with varied problem-solving styles.     

An empirical investigation of advanced manufacturing technology investment patterns: Evidence from a developing country

Advanced manufacturing technology (AMT) investment patterns in developing countries is in need of further investigation, particularly in the light of the conflicting evidence from the literature. This paper provides new evidence on AMT investment patterns from the Turkish automotive industry and develops a taxonomy by exploring the relationships between AMT investment patterns, ownership structure, firm size and performance. Analysis of industry survey data suggests the existence of three groups with different AMT investment strategies. Results suggest that AMT investment patterns are not only significantly correlated with firm performance or ownership, but also reveals significant differences in manufacturing performance across investment patterns.     

Assessing the performance of a development bank

The performance of a development bank can be assessed on the basis of ‘financial function’ and ‘development function’ criteria. While the financial function measures its operational efficiency in terms of the profitability of its investment operations, the developmental function evaluates its allocational efficiency as reflected by its investment activities for the economic development of the country and the stimulation of the capital market. The objective of this paper is to appraise the performance of the Industrial Finance Corporation of India, in terms of its profitability. The profitability has been analysed with reference to its (i) operating earnings, (ii) cost of operations, (iii) gross and net profit margins on the loan portfolio and (iv) rate of return and capital appreciation on the securities portfolio. The paper concludes with suggested measures to improve its profitability in future.     

基于建设时间的企业投资期权博弈均衡分析

本文在对称双头垄断时机选择期权博弈模型基础上引入了建设时间变量并进行了扩展,对企业研发投资策略均衡进行了分析.分析表明根据模型参数和投资初始时机不同,可能存在非约束共谋、序贯和同时投资策略均衡,随着项目建设时间的增加,企业的投资价值下降而投资临界值上升,市场需求波动对重复投资倾向产生主要影响,而与经济直观相反,建设时间和投资成本对重复投资没有影响,并为产业重复投资提供了一种解释.     

DECISION MAKING WITH FUZZY SETS

When goals and constraints are stated imprecisely, decision problems grow in importance, particularly in the investigation of complex and social systems. In this paper the methodology of Zadeh's fuzzy set theory is summarized and applied to fuzzy decision making.     

政府治理、产权偏好与资本投资

本文从投资机会和融资约束视角分析了地方政府治理水平影响企业投资行为的机制,认为地方政府通过提供高质量的公共治理水平,帮助企业获得更多的投资机会和融资渠道,扩大企业投资规模,提高投资效率。以我国2005-2007年间上市公司为研究样本,本文实证检验的结果表明,较高的地方政府治理水平会提高公司的资本投资规模;政府治理影响企业资本投资与投资机会的敏感度在民营企业中更为显著,政府治理对国有企业资本投资的影响随着实际控制人的行政级别提高而降低。进一步研究发现,政府治理能够降低企业的融资约束,提高企业投资效率。     

INTEGER GOAL PROGRAMMING IN ADVERTISING MEDIA SELECTION

The media selection decision allocates advertising dollars among competing media so as to optimize promotional and corporate objectives. Linear programming attempts to model this process have been complicated by multiple and often conflicting management goals, the need for integer solutions, and nonlinearities. This study offers a technique that is sufficiently robust to simultaneously handle these problems. An alternative media selection framework is presented and the results of an illustrative application of integer goal programming are discussed. The proposed model improves on linear programming by success fully providing for optimal, integer solutions in settings that more realistically reflect the complexity of the media decision environment.     

Technology Investment and Management Accounting Practice

Management accounting techniques and information are often accused of having many limitations that are likely to constrain investment in new technology. However, relatively little is known about the actual influence of management accounting practices on investment decisions. The empirical evidence of this research shows that new technology investment decisions are both highly complex and political. These decision attributes give rise to a protracted, circuitous, decision process that is very different from the rational model which dominates the capital budgeting literature. The research also shows that the management accounting system captures only a fraction of the information generated by this process and consequently has a relatively low influence on these investment decisions.     

An integrated approach for manpower planning in the service sector

The manpower planning problem receives considerable attention by the management of service organizations because they are typically labor intensive. Not only must optimal staff sizes be determined over an extended horizon, but optimal staff schedules which assign labor to tours of duty and specific tasks, given the available staff size, must also be found. Adding to the complexity arising from the interrelatedness of the staff-sizing and staff-scheduling problems is the existence of the conflicting multiple objectives of minimizing costs and maximizing customer service. The few methodologies reported in the literature which treat the complete manpower planning problem as stated above have several shortcomings. Some techniques place a severe strain on computational capabilities. Also, these methods confound the specification of the goal levels with the analysis of the relative goal weightings. Often the specification of the desired goal levels is made at a different level in the organizational hierarchy than the specification of the relative importance of the various goals. This paper suggests an approach which overcomes these shortcomings. The methodology utilizes a simulation model with an imbedded heuristic procedure for the staff-scheduling problem to identify realistic aggregate staff-size goals to be used in a multiple-objective staff-sizing model. The methodology is applied to the manpower planning problem of a large sectional center post office and the managerial benefits are discussed.     

Accounting, strategy and AMT investment

One strand in the current debate on AMT investment emphasises technical aspects of investment appraisal. Another calls for a broader focus on wider decision-making processes and strategic considerations. This paper seeks to merge both sets of concerns. It uses two empirical studies of AMT decisions in a number of companies. The first demonstrates specific linkages between manufacturing strategies and financial justifications. The second explores ways in which connections between finance and strategy are constructed and how they are understood and evaluated by decision-makers. We conclude that AMT proposals succeed by linking accounting information to strategic considerations throughout the investment decision process.     

基于二重随机因素的对称双头垄断期权博弈模型

本文在产品市场需求与经营成本二重随机性以及二者具有相关性的条件下,建立了一个对称双头垄断期权博弈分析框架,研究了企业最优战略投资决策问题。在导出企业投资价值函数和最优投资临界值的基础上,着重分析了企业最优投资策略均衡规则及各均衡存在的条件,并就各参数对企业最优投资临界值的影响进行比较静态分析,得出了一些有意义的结论,同时给出了经济解释。     

An application of the AHP in vendor selection of a telecommunications system

Vendor selection of a telecommunications system is an important problem to a telecommunications company as the telecommunications system is a long-term investment for the company and the success of telecommunications services is directly affected by the vendor selection decision. Furthermore, the vendor selection of a telecommunications system is a complex multi-person, multi-criteria decision problem. The group decision-making process can be improved by a systematic and logical approach to assess priorities based on the inputs of several people from different functional areas within the company. The analytic hierarchy process (AHP) can be very useful in involving several decision-makers with different conflicting objectives to arrive at a consensus decision. In this paper, an AHP-based model is formulated and applied to a real case study to examine its feasibility in selecting a vendor for a telecommunications system. The use of the proposed model indicates that it can be applied to improve the group decision making in selecting a vendor that satisfies customer specifications. Also, it is found that the decision process is systematic and that using the proposed AHP model can reduce the time taken to select a vendor.     

基于风险项目价值的风险投资最优中止时机研究

中止决策能力是影响风险投资公司长期绩效的重要指标之一,然而现有中止决策方法忽视了风险项目发展过程中信息对项目价值的影响,从而影响了中止决策时机。针对该问题,本文首先从贝叶斯后验估计的角度提出了风险投资家后验概率的信号学习过程;然后运用动态规划方法,在确定对风险项目最优投资水平的基础上,给出了基于风险项目价值的最优中止时机模型;最后对最优中止时机模型进行了算例分析。本文提出的最优中止模型考虑了风险项目发展过程中新信息释放对中止时机的影响,解决了分阶段投资情形下的最优中止决策问题,为风险投资家及时做出中止决策提供决策依据。同时,该模型还可用来分析风险投资家对风险项目的最优投资水平问题,为其做出最优决策提供参考。此外,模型的分析也为风险项目创始人通常发生的逆向选择行为提供了合理的解释。