WARRANTY COST ESTIMATION: A GOAL PROGRAMMING APPROACH

This paper proposes a goal programming approach to the warranty cost estimation problem. Past research on this topic has mostly dealt with a single objective—the minimization of the warranty reserve cost or the maximization of profit. A more realistic approach to warranty cost problems could, however, involve several goals, some of which might be conflicting to others. In this paper, three goals are prioritized. The goals considered are minimization of warranty reserve cost per unit, offering a minimum level of warranty time based on an allowable proportion of failures within the warranty period, and capturing a minimum specified market share of the product. An example is illustrated using the proposed formulation, and goal achievements are discussed.     

A survey of goal programming

In this paper the applications of goal programming to industrial and economic planning are reviewed, and it is shown how the linear programming framework can be extended to include a series of goals (or objectives). A planning method is suggested in which the decision maker is presented with a list of all the possible attainable goals from which he picks the most appropriate set.     

Allocation of research and development funds: A zero-one goal programming approach

The research and development project selection process is one of the most difficult and important problems faced by management. It is typically complicated by indivisibility of projects and multiple and conflicting objectives, in addition to limitations on funding, facilities, and qualified researchers. In this paper a case example involving a high technology electrical equipment manufacturer is developed to illustrate this problem using zero—one goal programming to accommodate indivisibility of projects in addition to multiple and conflicting goals. The model presented is an attempt to provide managers with a robust tool for allocating scarce resources among research and development projects.     

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.     

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.     

The falling tide algorithm: A new multi-objective approach for complex workforce scheduling

We present a hybrid approach of goal programming and meta-heuristic search to find compromise solutions for a difficult employee scheduling problem, i.e. nurse rostering with many hard and soft constraints. By employing a goal programming model with different parameter settings in its objective function, we can easily obtain a coarse solution where only the system constraints (i.e. hard constraints) are satisfied and an ideal objective-value vector where each single goal (i.e. each soft constraint) reaches its optimal value. The coarse solution is generally unusable in practise, but it can act as an initial point for the subsequent meta-heuristic search to speed up the convergence. Also, the ideal objective-value vector is, of course, usually unachievable, but it can help a multi-criteria search method (i.e. compromise programming) to evaluate the fitness of obtained solutions more efficiently. By incorporating three distance metrics with changing weight vectors, we propose a new time-predefined meta-heuristic approach, which we call the falling tide algorithm, and apply it under a multi-objective framework to find various compromise solutions. By this approach, not only can we achieve a trade off between the computational time and the solution quality, but also we can achieve a trade off between the conflicting objectives to enable better decision-making.     

A quantitative model for manpower decision making

Today's society is continually influenced by various changes, requiring managers to plan for manpower requirements. An approach that can be used by firms to solve one of the most pressing of today's employment problems is examined. In effect, the problem becomes one of determining an optimal work force composition based on both sociological and skill components. The problem is viewed as one of establishing rank ordered priorities among multiple conflicting manpower objectives. This study discusses some of the internal and external constraints faced by the firm and suggests a particular technique, goal programming, to facilitate the manpower decision-making process. The technique is examined under two different circumstances to provide some indication of the model's flexibility.     

The effect of ‘experience’ on information preferences

A decision-maker's experience is thought to affect how he/she chooses the information that support his/her selection among alternatives. Unfortunately, results from empirical studies designed to demonstrate this hypothesis are not in agreement about the existence and/or extent of the relationship. Since one possible explanation for conflicting in results is variability in the operationalization of the variable ‘experience’, this study was designed to determine if it matters whether one chooses a macro view of experience (in which the focus is on a decision-maker's overall experience) or a micro view of experience (in which the focus is on specific experience with the decision under consideration). Additional insights regarding problems in operationalizing ‘experience’ were generated as a result of these analyses to provide a basis for further research in this area.     

QUADRATIC PREFERENCES AND GOAL PROGRAMMING

One of the shortcomings of goal programming lies in its linearity, assumption, specifically in the objective function. This assumption compels one to work with constant marginal utilities and rates of substitution. In this paper a quadratic preference function, which is more consistent with economic theory and reality, is formulated and introduced into goal programming. In an effort to facilitate the understanding of the proposed procedure, two illustrative examples—one with symmetric preferences and the other with asymmetric preferences, both applied to the objective function—are solved and compared with a goal programming solution.     

Application of fuzzy goal programming technique to land use planning in agricultural system

This paper presents how fuzzy goal programming can be efficiently used for modelling and solving land-use planning problems in agricultural systems for optimal production of several seasonal crops in a planning year. In the model formulation of the problem, utilization of total cultivable land, supply of productive resources, aspiration levels of various production of crops as well as the total expected profit from the farm are fuzzily described. In the decision-making situation, minimization of the under-deviational variables of the membership goals with highest membership value (unity) as their achievement levels defined for the membership functions of the fuzzy goals of the problem on the basis of the priorities of importance of achieving the aspired levels of the fuzzy goals to the extent possible is considered. As a study region, the District Nadia, West Bengal, India is taken into account. To expound the potential use of the approach, the model solution is compared with the existing cropping plan of the District as well as a solution of the problem obtained by using the additive fuzzy goal programming model studied by Tiwari et al. (Fuzzy sets and systems 24(1987)27.) previously.     

CONFLICT RESOLUTION IN INVESTMENT DECISIONS: IMPLEMENTATION OF GOAL PROGRAMMING METHODOLOGY FOR DUAL-PURPOSE FUNDS*

Goal programming (GP) is designed to resolve allocation problems with conflicting goals. Both goals and constraints are incorporated in the allocational decision, and the objective function is stated in a way that, upon solution, yields a result “as close as possible” to the priority-weighted goals. The present paper applies GP methodology to the investment decision of dual-purpose funds (DPFs), that are required by law to pursue allocational decisions with potentially conflicting objectives. It provides an empirical demonstration that DPF managers could have improved their investment selection and subsequent performance by the use of GP methodology. Finally the paper stresses the importance of sensitivity analysis to improve both the goal-ranking and target-selection aspects of the methodology and provides a limited but illuminating empirical demonstration of post-optimality analysis.     

Defining goals—A systems approach

Most planning strategies include a goal development phase, yet very little concrete information is available in the program planning literature to help the planner know what a goal is or should be. Goals play an important role in systems theory and the theory offers a structure for the careful defining of goals. This article identifies the function of goals in systems as being the facilitation of evaluation and control. From this system functional analysis viewpoint, several specific characteristics of goals are derived and discussed.     

ON FUZZY GOAL PROGRAMMING—SOME COMMENTS

This paper pertains to goal programming with fuzzy goals and fuzzy priorities. Hannan [1], in his paper on fuzzy goal programming, alludes to the difficulty of handling fuzzy priorities and further notes that a method that this author proposed [2] may lead to incorrect results. In this note, the general problem of goal programming with fuzzy priorities is reexamined, along with the solution to the specific example presented in my original paper [2]. It is shown that the method for handling fuzzy priorities originally proposed by this author does indeed capture the relative importance of goals.     

Conflict of values— the central strategy problem

There is growing evidence that the central strategy question for business is no longer ‘what business are you in?’ but‘why are you in business?’ The traditional answers to this question—‘to make profits’, ‘to grow’ and ‘to give an adequate return to the shareholder’, are all being questioned. In their place others are being suggested—‘to provide satisfying jobs’, ‘to help solve social problems’, ‘to assist in urban and regional development’.In this article, Bernard Taylor suggests that the conflict between business goals and social goals has become the central strategy problem. Business enterprises like other organizations tend to develop their own distinctive sub-cultures with their own value systems which may differ markedly from the values accepted in society generally. The more effective the selection, training and reward systems, the more these business values will be reinforced.But this can lead to difficulties when society begins to reject business values in favour of other social goals; particularly at a time when the power and autonomy of management is being challenged and Corporate Planning is being transformed from an internal dialogue between managers at headquarters and managers in divisions into an open debate involving public servants, employees and self-appointed representatives of community interests.     

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.     

How to design a financial planning model.

Corporate planning models frequently consist of integrated pro forma income statements, statements of financial position, and cashflow statements. When implemented by utilizing computer-based planning systems, these models allow managers to explore potential decisions in ‘what if?’ planning analyses.The logic of an integrated financial statement planning model can be arranged following either a ‘funds needed to balance approach’ or a ‘direct approach’. With a funds needed to balance approach total assets are set equal to total liabilities plus equities to satisfy this fundamental accounting identity. Logic in such models is often difficult to validate. In the direct approach, total assets are calculated independently of total liabilities plus equities providing an extremely strong test for model validation prior to using the model to assess ‘what if’ alternatives.In this paper, the author discusses the logic of integrated financial planning models and their implementation with computer-based planning systems. The funds need to balance approach and the direct approach are described and contrasted to assist corporate planners in evaluating and selecting a method for constructing the logic of corporate planning models.     

Key to Effective Organizational Performance Management Lies at the Intersection of Paradox Theory and Stakeholder Theory

One of the fundamental and recurring issues in performance management is the adoption of a simplistic, short‐term, narrow, metrics‐oriented approach, which often results in unintended negative outcomes, some of which could be disastrous. This paper makes the case that the key to preventing this syndrome lies at the intersection of paradox and stakeholder theories. Both theories encourage a more complex, long‐term, holistic, balanced approach to management. Stakeholder theory focuses on addressing the many (sometimes conflicting) goals of multiple stakeholders, and paradox theory provides insights into how this challenging task (i.e. of simultaneously addressing multiple conflicting priorities) can be accomplished. Thus, the former provides the ‘what’ and the latter the ‘how’ of effective organizational performance management. Accordingly, the literature at the intersection of both theories (composed of 69 scholarly outputs), was reviewed, and in so doing, identified seven domain areas and 21 constructs, all of which implicitly deal with either performance management or its communication, thereby lending support to this paper's thesis. The implications of this review for both theory and practice, including the role of paradoxical cognitive mechanisms, is discussed.     

Navigating challenging contexts: Costs and benefits of codified acquisition experience

Despite its intuitive appeal, acquisition experience has not shown a clear benefit to acquirers, and we argue the applicability of acquisition experience depends on goals and context. Using survey data, we consider the effects of applying codified experience for two common acquisition goals involving knowledge transfer and market expansion. Our findings reveal a ‘double-edged sword’ effect, where on one hand, codification mitigates negative effects of industry rivalry on knowledge transfer. However, on the other hand, codification amplifies negative effects of industry rivalry on market expansion and internal turmoil on knowledge transfer. Beyond demonstrating the importance of goals and context contingencies for determining acquisition experience effect, our results reconcile conflicting research findings to identify when codified experience is beneficial in acquisitions.     

Disassembly to order system under uncertainty

This paper presents a multi-criteria optimization model of a disassembly-to-order (DTO) system under uncertainty. The goal of the proposed model is to determine the best combination of the number of each product type to be taken back from the last user and/or collectors. The EOL products are then disassembled for the retrieval of reusable components and materials and resold in order to meet a certain level of demand under a variety of physical, financial and environmental constraints. The surplus components are recycled, stored for usage in subsequent periods or properly disposed. The problem is modeled as a multi-criteria decision-making problem under uncertainty, where the aspiration levels for various goals are more likely to be in the “approximately more (less) than” and/or “more (less) is better” form. We employ fuzzy goal programming technique to solve the problem. When solved, the model provides the number of EOL products to be taken back as well as the number of items reused, recycled, stored and disposed. The values of a host of other performance measures are also obtained, including total profit, materials and items sales revenues, take back cost, transportation costs as well as costs of preparation of EOL products, destructive disassembly, non-destructive disassembly, recycling, storage and disposal. A case example is presented to illustrate the model's implementation.     

Examining the role of Donald Trump and his supporters in the 2021 assault on the U.S. Capitol: A dual-agency model of identity leadership and engaged followership

This article develops a dual-agency model of leadership which treats collective phenomena as a co-production involving both leaders and followers who identify with the same social group. The model integrates work on identity leadership and engaged followership derived from the social identity approach in social psychology. In contrast to binary models which view either leaders or followers as having agency, this work argues that leaders gain influence by defining the parameters of action in ways that frame the agency of their followers but leave space for creativity in how collective goals are accomplished. Followers in turn, exhibit their loyalty and attachment to the leader by striving to be effective in advancing these goals, thereby empowering and giving agency to the leader. We illustrate the model primarily through the events of 6th January 2021 when Donald Trump’s exhortations to his supporters that they should ‘fight’ to ‘stop the steal’ of the 2020 election was followed by an attack on the United States’ Capitol. We argue that it is Trump’s willing participation in this mutual process of identity enactment, rather than any instructions contained in his speech, that should be the basis for assessing his influence on, and responsibility for, the assault.