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The aim of this study is to select airline service quality improvement criteria for the Taiwanese airline industry. Numerous factors such as low railway prices, the development of high-speed rail, increases in petroleum prices, increases in foreign airline competition, and the recent economic depression have led many airlines in Taiwan to encounter financial difficulties and even closure. Researchers have begun to identify critical service quality improvement criteria with the goal of increasing the competitive advantages of airlines. Most of the selected criteria, however, suffer from a major technical problem: all of the measurement dimensions are independent, leading to inadequate criteria for measuring service quality. Our calculations consider the interrelationships and effects among the evaluation dimensions and criteria to precisely rank and select criteria. The value of this study is that it provides airlines with a direction for measuring and improving their service quality with the goal of developing sustained competitive advantage over the long term. © 2016 Elsevier Ltd

Wang L.,Huazhong University of Science and Technology | Fu Q.-L.,Huazhong University of Science and Technology | Zeng Y.-R.,Hubei University of Economics
Expert Systems with Applications | Year: 2012

In this paper, continuous review inventory models in which a fraction of demand is backordered and the remaining fraction is lost during the stock out period are considered under fuzzy demands. In order to find the optimal decision under different situations, two decision methods are proposed. The first one is finding a minimum value of the expected annual total cost, and the second one is maximizing the credibility of an event that the total cost in the planning periods does not exceed a certain budget level. For the first decision method, an approach of ranking fuzzy numbers by their possibilistic mean value is adopted to achieve the optimal solution. For the second one, the technique of fuzzy simulation and differential evolution algorithms are integrated to design hybrid intelligent algorithms to solve the fuzzy models. Subsequently, the two decision models are compared and some advices about inventory cash flow management are given. Further, sensitivity analysis is conducted to give more general situations to illustrate the rationality of the management advices. © 2011 Elsevier Ltd. All rights reserved.

Qu H.,Huazhong University of Science and Technology | Wang L.,Huazhong University of Science and Technology | Zeng Y.-R.,Hubei University of Economics
Knowledge-Based Systems | Year: 2013

In the real world, some heterogeneous items are prohibited from being transported together or penalty cost occurs when transporting them together. This paper firstly proposes the joint replenishment and delivery (JRD) model where a warehouse procures multi heterogeneous items from suppliers and deliveries them to retailers. The problem is to determine the grouping decision and when and how many to order and delivery to the warehouse and retailers such that the total costs are minimized. However, due to the JRD's difficult mathematical properties, simple and effective solutions for this problem have eluded researchers. To find an optimal solution, an adaptive hybrid differential evolution (AHDE) algorithm is designed. Results of contrastive numerical examples show that AHDE outperforms genetic algorithm. The effectiveness of AHDE is further verified by randomly generated problems. The findings show that AHDE is more stable and robust in handling this complex problem. Crown Copyright © 2013 Published by Elsevier B.V. All rights reserved.

Wang L.,Huazhong University of Science and Technology | Fu Q.-L.,Huazhong University of Science and Technology | Lee C.-G.,University of Toronto | Zeng Y.-R.,Hubei University of Economics
Knowledge-Based Systems | Year: 2013

The joint replenishment problem (JRP) has received considerable attention and all of the work on JRP is under explicit environment. In fact, the decision makers often have to face vague operational conditions. In this paper, a novel JRP model with fuzzy minor replenishment cost and fuzzy inventory holding cost is developed. More concisely, this model is a fuzzy dependent-chance programming (DCP) model. Subsequently, the technique of the traditional fuzzy simulation (FS) approach and differential evolution algorithm (DE) are integrated to design a hybrid intelligent algorithm named FSDE-I to solve this practical fuzzy JRP. Thirdly, another intelligent algorithm named FSDE-II using an improved FS approach is proposed to estimate the credibility more precisely. Finally, FSDE-I and FSDE-II are illustrated with numerical examples and the results show the effectiveness of FSDE-II. © 2012 Published by Elsevier B.V. All rights reserved.

Chen J.,Hubei University of Economics | Lv Z.,CAS Shenzhen Institutes of Advanced Technology
International Journal of Bifurcation and Chaos | Year: 2015

The most important decision in cross-docking design is the number of unloading and loading doors. This paper focuses on the design issues of unloading and loading doors of symmetric-I-shaped (I-LTL) cross-docks pervasive in the Chinese auto-part supplying chain which is obviously a very complex system. First of all, this paper analyzes the operation process of I-LTL cross-docking in detail and completes the construction of discrete event simulation that conforms to I-LTL cross-docking operation on the basis of practical details in reality through ARENA platform. In the simulation analysis, this paper selects the physical flow of parts (supporting for arrival frequency and loading capacity of transport vehicles) and I-LTL cross-docking as the simulation experimental factors and applies multilevel factorial design to carry out a large-scale simulation experiment. The results suggest that the required number of receiving dock doors is determined by the arrival frequency of storage vehicles and loading capacity. Moreover, the effect of arrival frequency index is far greater than the loading capacity index. On the other hand, the required number of shipping dock doors primarily depends on the cross-docking consolidation rate and vehicle arrival frequency. Moreover, the index action of consolidation rate is greater than the effect of arriving frequency linearity. © 2015 World Scientific Publishing Company.

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