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Article
Publication date: 4 December 2017

Abdelrahman E.E. Eltoukhy, Felix T.S. Chan, S.H. Chung, Ben Niu and X.P. Wang

The purpose of this paper is twofold. First, to propose an operational model for aircraft maintenance routing problem (AMRP) rather than tactical models that are commonly…

Abstract

Purpose

The purpose of this paper is twofold. First, to propose an operational model for aircraft maintenance routing problem (AMRP) rather than tactical models that are commonly used in the literature. Second, to develop a fast and responsive solution method in order to cope with the frequent changes experienced in the airline industry.

Design/methodology/approach

Two important operational considerations were considered, simultaneously. First one is the maximum flying hours, and second one is the man-power availability. On the other hand, ant colony optimization (ACO), simulated annealing (SA), and genetic algorithm (GA) approaches were proposed to solve the model, and the upper bound was calculated to be the criteria to assess the performance of each meta-heuristic. After attempting to solve the model by these meta-heuristics, the authors noticed further improvement chances in terms of solution quality and computational time. Therefore, a new solution algorithm was proposed, and its performance was validated based on 12 real data from the EgyptAir carrier. Also, the model and experiments were extended to test the effect of the operational considerations on the profit.

Findings

The computational results showed that the proposed solution algorithm outperforms other meta-heuristics in finding a better solution in much less time, whereas the operational considerations improve the profitability of the existing model.

Research limitations/implications

The authors focused on some operational considerations rather than tactical considerations that are commonly used in the literature. One advantage of this is that it improves the profitability of the existing models. On the other hand, identifying future research opportunities should help academic researchers to develop new models and improve the performance of the existing models.

Practical implications

The experiment results showed that the proposed model and solution methods are scalable and can thus be adopted by the airline industry at large.

Originality/value

In the literature, AMRP models were cast with approximated assumption regarding the maintenance issue, while neglecting the man-power availability consideration. However, in this paper, the authors attempted to relax that maintenance assumption, and consider the man-power availability constraints. Since the result showed that these considerations improve the profitability by 5.63 percent in the largest case. The proposed operational considerations are hence significant. Also, the authors utilized ACO, SA, and GA to solve the model for the first time, and developed a new solution algorithm. The value and significance of the new algorithm appeared as follow. First, the solution quality was improved since the average improvement ratio over ACO, SA, and GA goes up to 8.30, 4.45, and 4.00 percent, respectively. Second, the computational time was significantly improved since it does not go beyond 3 seconds in all the 12 real cases, which is considered much lesser compared to ACO, SA, and GA.

Details

Industrial Management & Data Systems, vol. 117 no. 10
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 3 August 2020

Yichen Qin, Hoi-Lam Ma, Felix T.S. Chan and Waqar Ahmed Khan

This paper aims to build a novel model and approach that assist an aircraft MRO procurement and overhaul management problems from the perspective of aircraft maintenance…

Abstract

Purpose

This paper aims to build a novel model and approach that assist an aircraft MRO procurement and overhaul management problems from the perspective of aircraft maintenance service provider, in order to ensure its smoothness maintenance activities implementation. The mathematical model utilizes the data related to warehouse inventory management, incoming customer service planning as well as risk forecast and control management at the decision-making stage, which facilitates to alleviate the negative impact of the uncertain maintenance demands on the MRO spare parts inventory management operations.

Design/methodology/approach

A stochastic model is proposed to formulate the problem to minimize the impact of uncertain maintenance demands, which provides flexible procurement and overhaul strategies. A Benders decomposition algorithm is proposed to solve large-scale problem instances given the structure of the mathematical model.

Findings

Compared with the default branch-and-bound algorithm, the computational results suggest that the proposed Benders decomposition algorithm increases convergence speed.

Research limitations/implications

The results among the same group of problem instances suggest the robustness of Benders decomposition in tackling instances with different number of stochastic scenarios involved.

Practical implications

Extending the proposed model and algorithm to a decision support system is possible, which utilizes the databases from enterprise's service planning and management information systems.

Originality/value

A novel decision-making model for the integrated rotable and expendable MRO spare parts planning problem under uncertain environment is developed, which is formulated as a two-stage stochastic programming model.

Details

Industrial Management & Data Systems, vol. 120 no. 9
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 7 June 2019

Felix T.S. Chan, Zhengxu Wang, Yashveer Singh, X.P. Wang, J.H. Ruan and M.K. Tiwari

The purpose of this paper is to develop a model which schedules activities and allocates resources in a resource constrained project management problem. This paper also…

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336

Abstract

Purpose

The purpose of this paper is to develop a model which schedules activities and allocates resources in a resource constrained project management problem. This paper also considers learning rate and uncertainties in the activity durations.

Design/methodology/approach

An activity schedule with requirements of different resource units is used to calculate the objectives: makespan and resource efficiency. A comparisons between non-dominated sorting genetic algorithm – II (NSGA-II) and non-dominated sorting genetic algorithm – III (NSGA-III) is done to calculate near optimal solutions. Buffers are introduced in the activity schedule to take uncertainty into account and learning rate is used to incorporate the learning effect.

Findings

The results show that NSGA-III gives better near optimal solutions than NSGA-II for multi-objective problem with different complexities of activity schedule.

Research limitations/implications

The paper does not considers activity sequencing with multiple activity relations (for instance partial overlapping among different activities) and dynamic events occurring in between or during activities.

Practical implications

The paper helps project managers in manufacturing industry to schedule the activities and allocate resources for a near-real world environment.

Originality/value

This paper takes into account both the learning rate and the uncertainties in the activity duration for a resource constrained project management problem. The uncertainty in both the individual durations of activities and the whole project duration time is taken into consideration. Genetic algorithms were used to solve the problem at hand.

Details

Industrial Management & Data Systems, vol. 119 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 10 April 2019

Hoi-Lam Ma, Zhengxu Wang, S.H. Chung and Felix T.S. Chan

The purpose of this paper is to study the impacts of time segment modeling approach for berth allocation and quay crane (QC) assignment on container terminal operations efficiency.

Abstract

Purpose

The purpose of this paper is to study the impacts of time segment modeling approach for berth allocation and quay crane (QC) assignment on container terminal operations efficiency.

Design/methodology/approach

The authors model the small time segment modeling approach, based on minutes, which can be a minute, 15 min, etc. Moreover, the authors divided the problem into three sub-problems and proposed a novel three-level genetic algorithm (3LGA) with QC shifting heuristics to deal with the problem. The objective function here is to minimize the total service time by using different time segments for comparison and analysis.

Findings

First, the study shows that by reducing the time segment, the complexity of the problem increases dramatically. Traditional meta-heuristic, such as genetic algorithm, simulated annealing, etc., becomes not very promising. Second, the proposed 3LGA with QC shifting heuristics outperforms the traditional ones. In addition, by using a smaller time segment, the idling time of berth and QC can be reduced significantly. This greatly benefits the container terminal operations efficiency, and customer service level.

Practical implications

Nowadays, transshipment becomes the main business to many container terminals, especially in Southeast Asia (e.g. Hong Kong and Singapore). In these terminals, vessel arrivals are usually very frequent with small handling volume and very short staying time, e.g. 1.5 h. Therefore, a traditional hourly based modeling approach may cause significant berth and QC idling, and consequently cannot meet their practical needs. In this connection, a small time segment modeling approach is requested by industrial practitioners.

Originality/value

In the existing literature, berth allocation and QC assignment are usually in an hourly based approach. However, such modeling induces much idling time and consequently causes low utilization and poor service quality level. Therefore, a novel small time segment modeling approach is proposed with a novel optimization algorithm.

Details

Industrial Management & Data Systems, vol. 119 no. 5
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 1 January 2005

Zheng Wang, Jie Zhang and Felix T.S. Chan

To introduce a Petri nets model that describes a networked manufacturing system and its dynamics.

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2052

Abstract

Purpose

To introduce a Petri nets model that describes a networked manufacturing system and its dynamics.

Design/methodology/approach

A hybrid Petri nets model is constructed, the continuous part of which is to describe the dynamics of the production process within a manufacturing system and the discrete part of which is to describe the dynamics of the ordering and delivering process between every two manufacturing systems. In addition, the mathematical formulation of the dynamics of networked manufacturing systems is proposed to describe its behaviors in detail. Based on the model, the control system architecture of networked manufacturing systems is constructed to make and execute the production plan, solve the conflicts among manufacturing systems and realize the reconfiguration of the network.

Findings

There are two key aspects in the dynamics of this hybrid system: first, in the continuous part of this hybrid system, the production process, the variables are discrete. Accordingly, the change of the systems states is not always continuous. Second, in the discrete part of this hybrid system the control variables are actually the safety and objective inventory levels and the minimum quantity of cumulative orders to trigger deliveries which determine the time and quantities of ordering or delivery. However, the relations between them are non‐linear.

Originality/value

Based on the model, the control system architecture of networked manufacturing systems can be constructed to make and execute the production plan, solve the conflicts among manufacturing systems and realize the reconfiguration of the network.

Details

Journal of Manufacturing Technology Management, vol. 16 no. 1
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 5 October 2020

Xiaodie Pu, Zhengxu Wang and Felix T.S. Chan

Based on structural embeddedness theory and resource dependence theory, this research aims to examine the mediation role of information sharing in the relationship between…

Abstract

Purpose

Based on structural embeddedness theory and resource dependence theory, this research aims to examine the mediation role of information sharing in the relationship between deendency structures and electronic supply chain management system (eSCM) adoption and a firm's intention to adopt eSCMs.

Design/methodology/approach

A survey questionnaire was undertaken from 212 companies based in Mainland China. Three-stage least squares (3SLS) regression was employed to test the research model.

Findings

The results from 3SLS regressions showed that the effect of interdependence on eSCM adoption intention is fully mediated through information sharing when relationship duration is either below or about the mean. Interdependence and dependence disadvantage was shown to have significant positive effects on eSCM adoption while the effect of dependence advantage was statistically insignificant. Relationship duration was found to negatively moderate the relationship between information sharing and adoption intention.

Originality/value

Through investigating factors of inter-organizational relationships, this study fills the knowledge gap in the traditional paradigms which ignore the collaborative nature of eSCM and analyse related problems based on a single firm's point of view.

Details

Industrial Management & Data Systems, vol. 120 no. 11
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 8 August 2018

Alfred Bo Shing Lee, Felix T.S. Chan and Xiaodie Pu

The purpose of this paper is to explore the impact of supplier development (SD) on supplier’s performance by sharing implicit knowledge in mentorship under the influence…

Abstract

Purpose

The purpose of this paper is to explore the impact of supplier development (SD) on supplier’s performance by sharing implicit knowledge in mentorship under the influence of supplier’s organizational culture (OC).

Design/methodology/approach

A survey questionnaire was employed to collect data from 226 employees of participating suppliers after conducting mentorship training at the suppliers’ site. The data were analyzed by the partial least squares structural equation modeling with software SmartPLS Ver. 3.0.

Findings

The empirical analysis indicates that SD by mentorship partially mediates the total effects of OC – power distance and uncertainty avoidance – on performance. It completely mediates the collaborative culture on performance.

Originality/value

This study may confirm that the SD program by mentorship is a viable strategy to enhance the performance of supply chain partners and the selection of suppliers.

Details

Industrial Management & Data Systems, vol. 118 no. 6
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 4 October 2019

Rana Muhammad Sohail Jafar, Shuang Geng, Wasim Ahmad, Ben Niu and Felix T.S. Chan

This era is an era of social media (SM); thus, it is an essential tool for communication among individuals and organizations. The excessive use of SM by employees has…

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1440

Abstract

Purpose

This era is an era of social media (SM); thus, it is an essential tool for communication among individuals and organizations. The excessive use of SM by employees has raised many questions about their job performance. Therefore, there is a dire need to investigate the effects of SM use on an employee’s job performance mediated by knowledge exchange. Furthermore, the purpose of this paper is to examine how the organization’s SM rules can moderate the relationship between personal and work-related use of SM with information sharing and obtaining information.

Design/methodology/approach

Quantitative methodology was used and randomly 1,200 questionnaires data were collected physically from the employees of the public and private sectors in Pakistan. To examine the hypothesized relationships, partial least squares (PLS), rather than covariance-based structural equation modeling, was used to analyze the data. For this reason, multivariate technique, Smart PLS-3.2.1, was used for data analysis.

Findings

The findings of this study demonstrated that personal and work-related use of SM could enhance employees’ job performance through knowledge exchange, and SM rules have adverse impacts on the relationships between SM use and knowledge exchange.

Originality/value

This study provides a novel model for the investigation of whether SM use affects employees’ job performance. Furthermore, it will help the policy makers and researchers regarding the management of SM use at work.

Details

Industrial Management & Data Systems, vol. 119 no. 9
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 31 December 2018

Gunjan Soni, Vipul Jain, Felix T.S. Chan, Ben Niu and Surya Prakash

It is worth mentioning that in supply chain management (SCM), managerial decisions are often based on optimization of resources. Till the early 2000s, supply chain…

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1060

Abstract

Purpose

It is worth mentioning that in supply chain management (SCM), managerial decisions are often based on optimization of resources. Till the early 2000s, supply chain optimization problems were being addressed by conventional programming approaches such as Linear Programming, Mixed-Integer Linear Programming and Branch-and-Bound methods. However, the solution convergence in such approaches was slow. But with the advent of Swarm Intelligence (SI)-based algorithms like particle swarm optimization and ant colony optimization, a significant improvement in solution of these problems has been observed. The purpose of this paper is to present and analyze the application of SI algorithms in SCM. The analysis will eventually lead to development of a generalized SI implementation framework for optimization problems in SCM.

Design/methodology/approach

A structured state-of-the-art literature review is presented, which explores the applications of SI algorithms in SCM. It reviews 56 articles published in peer-reviewed journals since 1999 and uses several classification schemes which are critical in designing and solving a supply chain optimization problem using SI algorithms.

Findings

The paper revels growth of swarm-based algorithms and seems to be dominant among all nature-inspired algorithms. The SI algorithms have been used extensively in most of the realms of supply chain network design because of the flexibility in their design and rapid convergence. Large size problems, difficult to manage using exact algorithms could be efficiently handled using SI algorithms. A generalized framework for SI implementation in SCM is proposed which is beneficial to industry practitioners and researchers.

Originality/value

The paper proposes a generic formulation of optimization problems in distribution network design, vehicle routing, resource allocation, inventory management and supplier management areas of SCM which could be solved using SI algorithms. This review also provides a generic framework for SI implementation in supply chain network design and identifies promising emerging issues for further study in this area.

Details

Supply Chain Management: An International Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 7 August 2018

Xiaodie Pu, Felix T.S. Chan, Zayyad Tsiga and Ben Niu

Based on the factors derived from the structural embeddedness theory, the purpose of this paper is to investigate the antecedents to the adoption intention for eSCM from…

Abstract

Purpose

Based on the factors derived from the structural embeddedness theory, the purpose of this paper is to investigate the antecedents to the adoption intention for eSCM from two perspectives: buyer and supplier. The six factors examined in this study are product complexity, product specificity, the number of partners, relationship duration, dependence disadvantage and dependence advantage.

Design/methodology/approach

A questionnaire was designed to collect data from Mainland China with 206 valid data received. Regression analysis was employed to test the hypotheses proposed.

Findings

The differences in the results show that product specificity and dependence disadvantage are significant determinants of eSCM adoption for buyers’ perspective, but not from that of suppliers. In addition, product complexity and dependence advantage (although negatively associated with eSCM adoption) are significant for suppliers, but not for buyers. Number of partners and relationship duration are significant determinants from both perspectives.

Originality/value

This research contributes to understanding on how the factors embedded in an exchange structure influence the adoption of eSCM from the angles of both the buyers and suppliers. We fill the research gap in the existing literature by recognizing the differences in the roles of the buyer and supplier regarding the antecedents to eSCM adoption.

Details

Industrial Management & Data Systems, vol. 118 no. 8
Type: Research Article
ISSN: 0263-5577

Keywords

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