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Production in large organizations with a centralized decision-making environment like supermarket chains or factories with many workshops, usually involves the participation of more than one individual unit, each contributing a part of the total production. This study is motivated by a production-planning problem regularly faced by the central decision-making unit to arrange new input and output plans...
Consider the problem of granting boarding clearance for a large population of air travelers while ferreting out any potential terrorists and denying them entry, in a short time. It is assumed that the probability of having a terrorist in the group is very small. Further assume that the process consists of asking a series of questions and the decision to clear or deny is dependent on the answer set...
In this work three genetic algorithms are presented for the permutation flowshop scheduling problem with total tardiness minimisation criterion. The algorithms include advanced techniques like path relinking, local search and a procedure to control the diversity of the population. We also include a speed up procedure in order to reduce the computational effort needed for the local search technique,...
This paper proposes a crisp two-objective logarithmic programming model to help companies decide their advertising campaigns on TV networks for mature products. Both objectives are: (a) to achieve the highest audience impact and (b) to reduce advertising costs as much as possible. Information input is fuzzily elaborated from statistical data, the fuzzy variables being defuzzified to introduce them...
The paper proposes a framework to map the development of management science (MS) and uses it to survey the MS literature published in Omega, the International Journal of Management Science. The management science discourse over the last 35 years is mapped in four paradigms: (1) optimisation/normative; (2) interpretative/learning; (3) critical; and (4) a post-modern management science approach. Using...
This paper addresses a complex set of decisions that surround the growth over time of reverse supply chain networks that collect used products for reuse, refurbishment, and/or recycling by processors. The collection network growth problem is decomposed into strategic, tactical and operational problems. This paper focuses on the strategic problem which is to determine how to allocate capital budget...
We evaluate the efficiency of decision making units (DMUs) in a World Bank supported Social Risk Mitigation Project (SRMP) in Turkey through context-dependent and measure-specific data envelopment analysis (DEA) approaches. The results suggest that the efficiency evaluations with context-dependent and measure-specific DEA play various roles in an organization such as setting attainable targets to...
This paper compares the relative efficiency of the strategic decision making (SDM) processes of British and Turkish firms. The technique of data envelopment analysis (DEA) is used to measure the relative efficiency of these firms. The evidence obtained by the DEA analysis reveals that the Turkish firms tend to be superior to the British firms in terms of their SDM efficiency. There is a significant...
Data envelopment analysis (DEA) can be interpreted as a natural generalization of elemental practices for efficiency and performance evaluation used in diverse areas, some of which have evolved independently of each other and of the traditional efficiency framework of Charnes et al. [Measuring the efficiency of decision making units. European Journal of Operational Research 1978;2(6):429–44]. The...
In this paper, we investigate a single-machine problem with the learning effect and release times where the objective is to minimize the makespan. A branch-and-bound algorithm incorporating with several dominance properties and lower bounds is developed to derive the optimal solution. A heuristic algorithm is proposed to obtain a near-optimal solution. The computational experiments show that the branch-and-bound...
Cross-docking operation is a logistics service mode aims to remove the storage and picking up functions of a warehouse, and coordinate goods loading between delivery vehicles and shipping vehicles. Transshipment is another logistic technique that allows goods to be conveyed from an overstocked store to a nearby understocked store, to avoid backordering or loss of sale. This paper models and analyzes...
Deriving weights from pairwise comparison matrices (PCM) is a highly researched topic. The analytic hierarchy process (AHP) traditionally uses the eigenvector method for the purpose. Numerous other methods have also been suggested. A distinctive feature of all these methods is that they associate a quantitative meaning to the judgemental information given by the decision-maker. In contrast, the verbal...
The problem of allocation of orders for custom parts among suppliers in make to order manufacturing is formulated as a single- or multi-objective mixed integer program. Given a set of customer orders for products, the decision maker needs to decide from which supplier to purchase custom parts required for each customer order. The selection of suppliers is based on price and quality of purchased parts...
The paper considers the classical single-period inventory model, also known as the Newsboy Problem, with the demand normally distributed and fully observed in successive inventory cycles. The extent of applicability of such a model to inventory management depends upon demand estimation. Appropriate estimators for the optimal order quantity and the maximum expected profit are developed. The statistical...
Wee et al. [Optimal inventory model for items with imperfect quality and shortage backordering. Omega 2007;35(1):7–11] recently contributed an optimal inventory model for items with imperfect quality and shortage backordering. This article revisits their study and applies the well-known renewal-reward theorem to obtain a new expected net profit per unit time. We derive the exact closed-form solutions...
The problem of determining the optimal order quantities for an inventoried item, when the vendor offers a limited-time price reduction is both interesting and important. It is interesting in that it has received continued attention of academic researchers for over four decades and it is important given its economic implication in a variety of practical settings. The extensive literature on this problem...
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