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Mathematics
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Operational Research in Service-oriented Manufacturing
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Operational Research in Service-oriented Manufacturing

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 13293

Special Issue Editors

Prof. Dr. Xu Chen

E-Mail Website
Guest Editor
School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China
Interests: service-oriented manufacturing; supply chain management; operations research; game theory
Prof. Dr. Xiaojun Wang

E-Mail Website
Guest Editor
Department of Management, University of Bristol, Bristol, UK
Interests: supply chain management; social media research; multi-criteria decision analysis; optimization theory
Dr. Zheng Luo

E-Mail Website
Guest Editor
School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China
Interests: service-oriented manufacturing; operations management; supply chain optimization; co-opetition

Special Issue Information

Dear Colleagues,

The global economy is shifting from a product economy to a service economy because of the increased significance of service in a product offering and the growing importance of the service sector in industrialized economies. The traditional business of products sale is turning into scenario-based solutions with bundling of products and services and their life-cycle management. Service-oriented manufacturing, a new paradigm for the synchronization of service and manufacturing, is increasingly adopted and embraced by companies, providing services and solutions that supplement their traditional product offerings and deliver the outcomes their customers want and value. The new paradigm shift consequently brings many new management challenges and problems that need to be addressed. As one of the important mathematical tools, operational research offers advanced analytical methods that can be applied to service-oriented manufacturing and provides new solutions. In addition, the new management problems, challenges, object relationships, and supply chain structure along with the emergence of service-oriented manufacturing require the development of new analytical models and techniques in the field of operational research. Therefore, the aim of this Special Issue is to contribute to theoretical and practical development by using analytical models and methods to solve the practical management problems in service-oriented manufacturing.

It is our pleasure to invite authors to contribute to this Special Issue by submitting relevant research articles that will be subject to rigorous peer review.

Prof. Dr. Xu Chen
Prof. Dr. Xiaojun Wang
Dr. Zheng Luo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Optimization theory
  • Game theory
  • Decision theory
  • Dynamic programming
  • Data-driven optimization method
  • Multi-objective optimization
  • • Service-oriented manufacturing
  • Supply chain management 
  • Sharing manufacturing
  • Platform operations management

Published Papers (6 papers)

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Research

15 pages, 1844 KiB  
Article
Measuring the Mediating Roles of E-Trust and E-Satisfaction in the Relationship between E-Service Quality and E-Loyalty: A Structural Modeling Approach
by Abdullah F. Alnaim, Abu Elnasr E. Sobaih and Ibrahim A. Elshaer
Mathematics 2022, 10(13), 2328; https://0-doi-org.brum.beds.ac.uk/10.3390/math10132328 - 03 Jul 2022
Cited by 7 | Viewed by 3014
Abstract
Despite a plethora of research studies on service quality, in general, and electronic (e) service quality, in particular, studies often focus on either understating the dimensions of e-service quality or its direct relationship with other variables such as customer e-satisfaction, e-trust, and e-loyalty. [...] Read more.
Despite a plethora of research studies on service quality, in general, and electronic (e) service quality, in particular, studies often focus on either understating the dimensions of e-service quality or its direct relationship with other variables such as customer e-satisfaction, e-trust, and e-loyalty. This study developed a comprehensive theoretical model to examine both direct and indirect influence of e-service quality on the e-loyalty of hotel customers in their usage of online travel agencies (OTAs). The research examines the mediating effect of e-trust and e-satisfaction in the relationship between e-service quality and e-loyalty. The research adopted a quantitative approach through a questionnaire survey for data collection from hotel customers who adopt OTAs for choosing their hotel services. Data collected from the questionnaires were analyzed using structural equation modeling (SEM). The results confirmed all direct relationships among e-service quality, e-trust, e-satisfaction, and e-loyalty. However, the results did not confirm a mediating role of either e-trust or e-satisfaction in the relationship between e-service quality and e-loyalty. Nonetheless, the results interestingly showed that both variables (trust and e-satisfaction) have a mediating role in the relationship between e-service quality and e-loyalty. The results of this research have numerous implications for senior tourism marketers, as well as marketing scholars. Full article
(This article belongs to the Special Issue Operational Research in Service-oriented Manufacturing)
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24 pages, 1080 KiB  
Article
Option Contracts in Fresh Produce Supply Chain with Freshness-Keeping Effort
by Deng Jia and Chong Wang
Mathematics 2022, 10(8), 1287; https://0-doi-org.brum.beds.ac.uk/10.3390/math10081287 - 12 Apr 2022
Cited by 1 | Viewed by 1560
Abstract
This study investigates a supply chain of fresh produce with consideration of option contracts and where stochastic market demand depends on freshness-keeping effort. Firstly, we investigate a benchmark scenario of an integrated supply chain with freshness effort and consideration of decreases in both [...] Read more.
This study investigates a supply chain of fresh produce with consideration of option contracts and where stochastic market demand depends on freshness-keeping effort. Firstly, we investigate a benchmark scenario of an integrated supply chain with freshness effort and consideration of decreases in both the quality and quantity of produce while in the supply chain. Secondly, we introduce call, put, and bidirectional option contracts to mitigate risks of the retailer. A call option contract can reduce the underage risk, while a put option contract can reduce the overage risk, and a bidirectional option contract can reduce bilateral risks. We derive the optimal ordering decisions and freshness-keeping effort for a retailer in a supply chain of fresh produce with option contracts, and the conditions for achieving coordination of the supply chain. We find that the bidirectional option results in the highest option price and lowest option order quantity, while the call option results in the lowest initial order quantity and the put option results in the highest initial order quantity. Finally, numerical examples are given to demonstrate the impacts of various parameters on optimal decision-making. This paper provides managerial insights for reducing risk in fresh produce supply chains. Full article
(This article belongs to the Special Issue Operational Research in Service-oriented Manufacturing)
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37 pages, 513 KiB  
Article
Performance of Stochastic Inventory System with a Fresh Item, Returned Item, Refurbished Item, and Multi-Class Customers
by K. Jeganathan, S. Selvakumar, S. Saravanan, N. Anbazhagan, S. Amutha, Woong Cho, Gyanendra Prasad Joshi and Joohan Ryoo
Mathematics 2022, 10(7), 1137; https://0-doi-org.brum.beds.ac.uk/10.3390/math10071137 - 01 Apr 2022
Cited by 8 | Viewed by 1670
Abstract
This paper deals with an integrated and interconnected stochastic queuing-inventory system with a fresh item, a returned item, and a refurbished item. This system provides a multi-type service facility to an arriving multi-class customer through a dedicated channel. It sells fresh and refurbished [...] Read more.
This paper deals with an integrated and interconnected stochastic queuing-inventory system with a fresh item, a returned item, and a refurbished item. This system provides a multi-type service facility to an arriving multi-class customer through a dedicated channel. It sells fresh and refurbished items, buys used items from customers, refurbishes the used items for resale, and provides a repair service for defective items. The assumption of purchasing a used item from the customer and allowing them to buy a fresh item is a new idea in stochastic queuing-inventory modeling. To do so, this system has four parallel queues to receive four classes of customers and five dedicated servers to provide a multi-type service facility. Customers are classified according to the type of service they require. Each class of arrival follows an independent Poisson process. The service time of each dedicated server is assumed to be exponentially distributed and independent. This system assumes an instantaneous ordering policy for the replenishment of a fresh item. In the long run of this considered system, the joint probability distribution of the seven-dimensional stochastic process, significant system performance measures, and the optimum total cost are to be derived using the Neuts matrix geometric technique. The main objective of the system was to increase the occurrence of all kinds of customers by providing a multi-type service facility in one place. Buying a used item is unavoidable in an emerging society because it helps form a green society. Furthermore, the numerical result shows that the assumption of a system that allows a customer to sell their used item and purchase a new item will increase the number of customers approaching the system. Full article
(This article belongs to the Special Issue Operational Research in Service-oriented Manufacturing)
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15 pages, 735 KiB  
Article
Mathematical Modeling of Pricing and Service in the Dual Channel Supply Chain Considering Underservice
by Qingren He, Taiwei Shi and Ping Wang
Mathematics 2022, 10(6), 1002; https://0-doi-org.brum.beds.ac.uk/10.3390/math10061002 - 21 Mar 2022
Cited by 2 | Viewed by 1582
Abstract
The retailer cannot often identify consumers’ preference for personalized and refined services. This poses a lower service than the consumer expects, which will lead to a decline in consumers’ satisfaction and loyalty. To cope with this problem, we consider a dual-channel supply chain [...] Read more.
The retailer cannot often identify consumers’ preference for personalized and refined services. This poses a lower service than the consumer expects, which will lead to a decline in consumers’ satisfaction and loyalty. To cope with this problem, we consider a dual-channel supply chain composed of a manufacturer who has the online channel and an offline retailer and introduce the concept of underservice into the framework of pricing and service decision. The influence of consumers’ service expectations and the sensitive coefficient of consumers’ perceptive service on optimal decision-making were explored by optimization theory. First, the mathematical model of profit functions of the offline retailer and the manufacturer was developed by taking into account the service expectation respectively. Based on this, the Stackelberg game was adopted to prove that there is a linkage mechanism between the optimal retail price and the optimal service level under certain conditions. Second, we examined the conditions under which underservice occurs and the factors that influence them. Finally, we explored the stability condition under which the offline retailer’s optimal service level is against pricing. Results show that for newly launched products, the offline retailer will take the risk of increased service costs to adopt a strategy of high profit and good sales as a result of underservice. With regard to expiring products, it is impossible for the offline retailer to provide a lower-than-expected service level. Therefore, the offline retailer will adopt a strategy of small profits but quick turnover. In addition, the optimal service level of the offline retailer is stable against the optimal retail price, which greatly simplifies the service decision of the offline retailer, that is, the offline retailer does not need to consider the pricing strategy of the manufacturer and only needs to offer a level of service equal to the consumers’ service expectation. Full article
(This article belongs to the Special Issue Operational Research in Service-oriented Manufacturing)
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22 pages, 11737 KiB  
Article
Optimal Pricing, Ordering, and Coordination for Prefabricated Building Supply Chain with Power Structure and Flexible Cap-and-Trade
by Wen Jiang, Menglin Liu, Lu Gan and Chong Wang
Mathematics 2021, 9(19), 2426; https://0-doi-org.brum.beds.ac.uk/10.3390/math9192426 - 29 Sep 2021
Cited by 7 | Viewed by 1870
Abstract
Under the increasing pressure of global emission reduction, prefabricated buildings are becoming more and more popular. As prefabricated building manufacturers and assemblers are emerging in the market, how do they make decisions of pricing, ordering, and emission reduction? In this paper, game theory [...] Read more.
Under the increasing pressure of global emission reduction, prefabricated buildings are becoming more and more popular. As prefabricated building manufacturers and assemblers are emerging in the market, how do they make decisions of pricing, ordering, and emission reduction? In this paper, game theory is used to make the decisions for the prefabricated building supply chain with flexible cap-and-trade and different power structures, i.e., using prefabricated building manufacturers as the leader, using the vertical Nash equilibrium, and using prefabricated building assemblers as the leader. The two-part tariff contract is designed to coordinate the supply chain and to improve the supply chain performance. Moreover, we discuss the influence of different power structures and the two-part tariff contract on the optimal decisions and profits. Finally, numerical analysis is used to verify the conclusions. This indicates that the supply chain leaders will gain a higher profit and that the power structure has a significant influence on the two-part tariff contract, which will result in an unfair distribution of profit. High carbon trading prices benefit carbon emission reduction. Consumer low-carbon awareness has a positive effect on carbon emission reduction and supply chain performance. Full article
(This article belongs to the Special Issue Operational Research in Service-oriented Manufacturing)
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25 pages, 6647 KiB  
Article
A Hyper Heuristic Algorithm Based Genetic Programming for Steel Production Scheduling of Cyber-Physical System-ORIENTED
by Xiaowu Chen, Guozhang Jiang, Yongmao Xiao, Gongfa Li and Feng Xiang
Mathematics 2021, 9(18), 2256; https://0-doi-org.brum.beds.ac.uk/10.3390/math9182256 - 14 Sep 2021
Cited by 6 | Viewed by 2318
Abstract
Intelligent manufacturing is the trend of the steel industry. A cyber-physical system oriented steel production scheduling system framework is proposed. To make up for the difficulty of dynamic scheduling of steel production in a complex environment and provide an idea for developing steel [...] Read more.
Intelligent manufacturing is the trend of the steel industry. A cyber-physical system oriented steel production scheduling system framework is proposed. To make up for the difficulty of dynamic scheduling of steel production in a complex environment and provide an idea for developing steel production to intelligent manufacturing. The dynamic steel production scheduling model characteristics are studied, and an ontology-based steel cyber-physical system production scheduling knowledge model and its ontology attribute knowledge representation method are proposed. For the dynamic scheduling, the heuristic scheduling rules were established. With the method, a hyper-heuristic algorithm based on genetic programming is presented. The learning-based high-level selection strategy method was adopted to manage the low-level heuristic. An automatic scheduling rule generation framework based on genetic programming is designed to manage and generate excellent heuristic rules and solve scheduling problems based on different production disturbances. Finally, the performance of the algorithm is verified by a simulation case. Full article
(This article belongs to the Special Issue Operational Research in Service-oriented Manufacturing)
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