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An important aspect of management is the periodic performance appraisal (PA) of subordinates. This paper focuses on inferring the criteria employed and weights attached to them by an assessor in any PA process. Linear programming (LP) is proposed as an alternative to policy capturing (PC) as the inference mechanism. The LP approach is illustrated and contrasted with regression-based PC approaches...
One of the keys to a successful maintenance program in a large manufacturing industry is the ability to complete repairs in a timely fashion. A poor maintenance program impacts productivity, costs, customer satisfaction, and worker esteem. Since a substantial portion of maintenance labor-hours are assigned to non-routine work orders, it is important to process these orders promptly and effectively...
Natural gas local distribution companies (LDCs) face the problem of managing natural gas purchases under conditions of uncertain demand and frequent price change. In this paper, we present a stochastic optimization model to solve this problem. Unlike other models, this model explicitly considers deliverability, the rate at which gas can be added to and withdrawn from a storage facility, as a variable,...
This study uses a controlled laboratory experiment to compare the performances of Management Science (MS), Theory of Constraints/Optimized Production Technology (TOC/OPT) and Local Optimization (LO) approaches to production planning. The OPT game was used as the experimental instrument. The subjects were given hint sheets based on MS, TOC/OPT and LO approaches. The results show that production planning...
Recent articles have suggested the use of linear programming (LP) to capture the policy used by an assessor in performance appraisal (PA). This paper shows the power of the LP approach to policy capturing (PC) and suggests that only a small subset of all assessees needs to be ranked by the assessor in order to induce a satisfactory ranking of the entire set. This result leads to a very simple interactive...
Bank balance-sheet management which involves the determination of the size and composition of a bank's assets and liabilities over a multiperiod planning horizon is one of the most prominent issues in bank strategic planning. Not only management policy choices, but legal restrictions and minimum safety requirements, dictated by the economic and political environment operated in, mean a balance has...
Performance rating and comparison of a group of entities is frequently based on the values of several attributes. Such evaluations are often complicated by the absence of a natural or obvious way to weight the importance of the individual dimensions of the performance. This paper proposes a framework based on nonparametric frontiers to rate and classify entities described by multiple performance attributes...
We propose a methodology that uses data envelopment analysis (DEA) for solving the inverse classification problem. An inverse classification problem involves finding out how predictor attributes of a case can be changed so that the case can be classified into a different and more desirable class. For a binary classification problem and non-negative decision-making attributes, we show that under the...
This work seeks to develop the MIXALG method as a way of solving routing problems with moderated size. This method avoids the applications of some burdensome procedures in unnecessary situations. The resolution of real cases serves as touchstone for testing the properties of our method. The application of MIXALG procedure in the logistic problems of a specific company, situated in Navarra (Spain),...
Data envelopment analysis (DEA) assigns a score to each production unit (decision making unit-DMU) considered in the analysis. Such score indicates whether the unit is efficient or not. For inefficient units, it also identifies a hypothetical unit as the target and thus suggests improvements to their efficiency. However, for efficient units no further improvement can be indicated based on a DEA analysis...
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...
In this note we present a variant of the improved algebraic method (IAM) using a duality analysis to solve linear programming (LP) problems where more insights to the method are presented. When the coordinates of all vertices are computed, any feasible point can be expressed as a linear combination of the vertices. The objective function is expressed as a weighted sum of its evaluation at the feasible...
Matrix game theory is concerned with how two players make decisions when they are faced with known exact payoffs. The aim of this paper is to develop a simple and an effective linear programming method for solving matrix games in which the payoffs are expressed with intervals. Because the payoffs of the matrix game are intervals, the value of the matrix game is an interval as well. Based on the definition...
In this note we show that the diet problem and the benefit-of-the-doubt (BoD) aggregation are linear programming duals. That is, the primal (dual) formulation of the diet problem is equivalent to the dual (primal) formulation of the BoD model as long as food prices are set equal to one. In addition, we show that the diet problem and the inverted BoD model are linear programming equivalent as long...
Companies continuously look for new ways to optimize their processes according to their competitive priorities. Returns process management, as a part of reverse logistics, has become an important field of performance improvement, especially in businesses with seasonal demand patterns, like fashion, books, or electronics. Consequently, unsold articles are often commercialized through secondary channels,...
Electric vehicles (EVs) are becoming an attractive alternative to gasoline vehicles owing to the increase of greenhouse gas emissions and gasoline prices. EVs are also expected to function as battery storages for stabilizing large fluctuations in the power grid through the vehicle-to-grid power system, which requires smart charge and discharge scheduling algorithms. In this paper, we develop a linear...
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