Search results

1 – 10 of 27
Open Access
Article
Publication date: 14 October 2022

Zhixiang Chen

This paper is to explore how cross-functional integration (CFI) of production-marketing can impact the firm's build-to-order (BTO) competitiveness, marketing performance…

Abstract

Purpose

This paper is to explore how cross-functional integration (CFI) of production-marketing can impact the firm's build-to-order (BTO) competitiveness, marketing performance (MP) and financial performance (FP).

Design/methodology/approach

Empirical study with the structural equation modeling approach is applied. Six hypotheses are constructed and tested based on survey data collected from Chinese manufacturing firms.

Findings

The survey data supports that production-marketing integration (PMI) improves BTO competitiveness (BTOC) and MP and that BTOC also positively affects marketing outcome which, in turn, impacts a firm's FP. The results reveal that CFI of production-marketing is an effective approach for achieving the BTO manufacturing strategy and can improve organizational performance.

Originality/value

The paper uncovers the role of CFI of production-marketing in BTO manufacturing strategy and its impacts on a firm's MP and FP and provides important managerial implications for practitioners to improve organizational time-based competitiveness and performance in today's time-based competition era.

Details

European Journal of Management Studies, vol. 27 no. 2
Type: Research Article
ISSN: 2183-4172

Keywords

Article
Publication date: 12 February 2019

Shao Xiao, Zhixiang Chen and Bhaba R. Sarker

Equipment reliability significantly impacts productivity, and in order to obtain high equipment reliability and productivity, maintenance and production decision should be…

Abstract

Purpose

Equipment reliability significantly impacts productivity, and in order to obtain high equipment reliability and productivity, maintenance and production decision should be made simultaneously to keep manufacturing system healthy. The purpose of this paper is to investigate the joint optimization of equipment maintenance and production decision for k-out-of-n system equipment with attenuation of product quality and to explore the impact of maintenance on the production and cost control for manufacturers.

Design/methodology/approach

A multi-period Markov chain model for k-out-of-n system equipment is set up based on the assumption that the deterioration of equipment is a pure birth process. Then, the maintenance cost, setup cost, inventory holding cost, shortage cost, production cost and the quality cost are analyzed with the uncertain demand and the attenuation of product quality stemmed from equipment deterioration. The total lowest cost per unit time and its specific calculation method are presented. Finally, the robustness and flexibility of the method are verified by a numerical example and the effects of equipment deterioration intensity and attenuation of product quality are analyzed.

Findings

The result shows that the joint decision model could not only satisfy the uncertain demand with low cost and strong robustness but also make the output products high quality level. In addition, the attenuation of product quality would influence the equipment maintenance and production decision and leads to the production waste and increases the operation cost greatly.

Originality/value

Implications derived from this study can help production maintenance managers and reliability engineers adequately select maintenance policy to improve the equipment efficiency and productivity with high quality level at a relatively low cost.

Details

International Journal of Quality & Reliability Management, vol. 36 no. 5
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 23 September 2021

Kaifang Fu, Zhixiang Chen and Bhaba R. Sarker

The purpose of this paper is to investigate the behavioral operations effect in production inventory decision of supply chain consisting of one manufacturer and one buyer…

Abstract

Purpose

The purpose of this paper is to investigate the behavioral operations effect in production inventory decision of supply chain consisting of one manufacturer and one buyer, and analyze how the unfairness concerns impact the decision of production inventory in a supply chain system.

Design/methodology/approach

First, a model without the buyer’s unfairness concern is established; then, advantage unfairness concern and disadvantage unfairness concern behavior of buyer are taken into account in the production inventory system. The authors analyze how advantage unfairness concern and disadvantage unfairness concern impact the optimal decisions and channel coordination.

Findings

The result shows several important conclusions. First, the buyer’s optimal ordering quantity and expected utility show opposing trend when the buyer has advantage unfairness concern. Second, the stronger bargaining power of the manufacturer results in an increasing buyer’s optimal ordering quantity under the advantage unfairness concern case, but decreasing under the disadvantage unfairness concern case. Third, the supply chain production-inventory can be coordinated under advantage unfairness concern case, but cannot be coordinated under disadvantage unfairness concern.

Practical implications

The study can provide to practitioners with important implications that when the vendor or the buyer in supply chain wants to make the decision of inventory replenishment, taking unfairness concerns into account will lead to different results. Therefore, to effectively improve the operations performance of supply chain, partners of the supply chain should not only care about their own interest, but also need to consider the fairness concern of the other partner, reflecting the cooperation consciousness of supply chain management.

Originality/value

This paper contributes to the new field of creative management–behavioral operations, offering managerial implications for the decision and optimization of supply chain production-inventory problem.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 6 August 2019

Xinfeng Lai, Zhixiang Chen and Bhaba R. Sarker

The purpose of this paper is to study a production lot sizing problem with consideration of imperfect manufacturing and emergency maintenance policy, providing managerial…

Abstract

Purpose

The purpose of this paper is to study a production lot sizing problem with consideration of imperfect manufacturing and emergency maintenance policy, providing managerial implication for practitioners.

Design/methodology/approach

In this study, the authors introduce two models, where in Model I, shortages are not allowed and repair times are negligible. In Model II, shortages are allowed and are partially backlogged, and repair times are assumed to be exponentially distributed, algorithm is developed to solve the models, numerical examples were demonstrated the applications.

Findings

Results show that in the Model I, demand rate is the most significant parameter affecting the average expected cost, whereas the time needed to breakdown after machine shift is the most significant factor affecting the production lot size. Therefore, reduction in the time needed to breakdown after machine shift would be helpful for determining an appropriate production lot size in Model I. In Model II, repair time parameter is the most significant factor affecting the average expected cost. Reducing the value of machine shift parameter would be helpful for determining an adequate production lot size and reducing decision risk.

Practical implications

This paper can provide important reference value for practitioners with managerial implication of how to effectively maintain equipment, i.e. how to make product lot size considering the influence of the maintenance policy.

Originality/value

From the aspect of academia, this paper provides a solution to the optimal production lot sizing decision for an imperfect manufacturing system with consideration of machine breakdown and emergency maintenance, which is a supplement to imperfect EMQ model.

Details

Kybernetes, vol. 49 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 5 August 2021

Meiqiang Wang, Yingwen Chen and Zhixiang Zhou

The purpose of this paper is to examine the industrial production efficiency, pollution treatment efficiency, total factor energy efficiency and water efficiency in China…

Abstract

Purpose

The purpose of this paper is to examine the industrial production efficiency, pollution treatment efficiency, total factor energy efficiency and water efficiency in China with the consideration of technological innovation. This study also explores the distribution proportion of technological innovation between industrial production substage and pollution treatment substage.

Design/methodology/approach

A nonparametric method, data envelopment analysis (DEA), is used as the model foundation of this study. Specifically, a novel two-stage range-adjusted measure (RAM-DEA) with shared inputs is constructed to analyze the China’s industrial system. In this study, the panel data of 30 provinces from 2008 to 2015 are used.

Findings

This study found that although the current environmental regulation reduced the efficiency of industrial production, it could significantly improve the pollution treatment level. However, the lack of pollution treatment capacity was still an obstacle for development of China's industrial system. Compared with the total factor energy efficiency, the total factor water efficiency had more room for improvement. The optimal distribution of technological innovation in the two substages performed little change and the distribution roughly followed the “three-seven principle”.

Practical implications

More attention should be paid to improve the pollution treatment level and total factor water efficiency. And more R&D expenditure should be used in the industrial production substage in the eastern coastal areas, while in the inland areas, more R&D expenditure should be used in the pollution treatment substage.

Originality/value

This study proposed a model to environmental efficiency score with considering interval data under two-stage evaluation structure, which could strengthen the theory and expand the application scope of DEA approach.

Details

Management of Environmental Quality: An International Journal, vol. 32 no. 6
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 7 September 2015

Zhixiang Chen

The purpose of this paper is to investigate the relationships among just-in-time (JIT), total quality management (TQM) and production operations performance (POP) based on…

3117

Abstract

Purpose

The purpose of this paper is to investigate the relationships among just-in-time (JIT), total quality management (TQM) and production operations performance (POP) based on the survey data from Chinese manufacturing firms, provide managerial implications of effectively implementing JIT and TQM for firms in developing countries.

Design/methodology/approach

Questionnaires were collected from 173 Chinese manufacturing firms. Three hypotheses on the relationships among JIT, TQM and POP were first established based on literature review. Empirical study method of structural equation modeling using SPSS and AMOS as data processing tools is employed to test the hypotheses.

Findings

The results show that, on one hand, JIT positively influences TQM and POP; on the other hand, although TQM also has positive relationship with POP, the relationship is not significant at a given significant level. Meanwhile, the author survey also shows that JIT and TQM have complementary relationship, i.e., JIT and TQM can benefit each other in a firm.

Practical implications

TQM is a base of implementing JIT, it is valuable to concurrently implement JIT and TQM in manufacturing firms in order to improve the POP.

Originality/value

It is believed that this research reveals new insights about the JIT and TQM implementation in Chinese manufacturing firms; it has practice value for firms to improve the implementation performance of JIT and TQM.

Details

Business Process Management Journal, vol. 21 no. 5
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 12 October 2012

Zhixiang Yin, Jianzhong Cui, Yan Yang, Yin Ma, Wei Wang, Jin Yang and Xia Sun

The bottleneck of current DNA computing paradigms based on brute‐force search strategy is that initial solution space grows exponentially with problem size, thus only…

246

Abstract

Purpose

The bottleneck of current DNA computing paradigms based on brute‐force search strategy is that initial solution space grows exponentially with problem size, thus only trivial instances of NP‐complete problem can be solved. The purpose of this paper is to present a novel molecular program based on sticker models for solving dominating set problems.

Design/methodology/approach

The authors do not synthesize the initial solution pool containing every possible candidate solution as previously reported algorithm. Instead, solutions DNA molecules to the problem of interest are constructed during the course of computation.

Findings

It is shown that “exponential explosions” inherent in current DNA computing paradigms may be overcome in this way.

Originality/value

The paper proposes an error‐resistant DNA algorithm based on sticker model for solving minimum dominating problems.

Article
Publication date: 16 November 2015

Zhixiang Chen and Bhaba R. Sarker

The purpose of this paper is to study the impact of learning effect and demand uncertainty on aggregate production planning (APP), provide practitioners with some…

Abstract

Purpose

The purpose of this paper is to study the impact of learning effect and demand uncertainty on aggregate production planning (APP), provide practitioners with some important managerial implications for improving production planning and productivity.

Design/methodology/approach

Motivated by the background of one labour-intensive manufacturing firm – a mosquito expellant factory – an APP model considering workforce learning effect and demand uncertainty is established. Numerical example and comparison with other two models without considering learning and uncertainty of demand are conducted.

Findings

The result shows that taking into account the uncertain demand and learning effect can reduce total production cost and increase flexibility of APP.

Practical implications

Managerial implications are provided for practitioners with four propositions on improving workforce learning effect, i.e. emphasizing employee training, combing individual and organizational learning and reduction of forgetting effect.

Originality/value

This paper has practice value in improving APP in labor-intensive manufacturing.

Details

Journal of Modelling in Management, vol. 10 no. 3
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 19 July 2013

Zhixiang Chen and Li Li

The purpose of this paper is to study the information support technologies of integrated production planning control for OEM (original equipment manufacturer) driven…

1506

Abstract

Purpose

The purpose of this paper is to study the information support technologies of integrated production planning control for OEM (original equipment manufacturer) driven networked manufacturing systems, and offer implications to firms for implementing networked manufacturing.

Design/methodology/approach

OEM driven networked manufacturing and its operations modes and support technologies are first discussed. Then, integration framework of production planning and control is proposed and relative technologies are discussed. Finally, a case of the application of information support technologies in networked manufacturing is illustrated.

Findings

Both theory analysis and case experience show that information integration and sharing are critical for effective operations of OEM driven networked manufacturing and an integrated production planning and control system can benefit firms for successfully operating a networked manufacturing system.

Practical implications

It is valuable to develop and apply integrated production planning and control systems in OEM driven networked manufacturing, Firms should pay more attention to information sharing and communication with partners and utilize advanced information technologies to synchronize the operations of partners.

Originality/value

Integration framework of production planning and control proposed in this paper has originality and the technology strategies are also practical. Managerial ideas, technology framework and application strategies of integrated production planning and control are helpful for firms to implement OEM driven networked manufacturing.

Article
Publication date: 16 August 2013

Zhixiang Chen and Kim Hua Tan

The purpose of this paper is to empirically explore the relationships among organization ownership structure, implementation of just‐in‐time (JIT), and production…

4389

Abstract

Purpose

The purpose of this paper is to empirically explore the relationships among organization ownership structure, implementation of just‐in‐time (JIT), and production operations performance.

Design/methodology/approach

A theory model for explaining the relationships among ownership, manufacturing strategy and performance was constructed, and then several hypotheses were tested using statistical analysis models based on questionnaire responses from Chinese manufacturing firms.

Findings

The results show that organization ownership not only impacts the implementation of JIT and operations performance, but also impacts the relationship between JIT implementation and operations performance. Moreover, the results show that, for firms operated in China, the implementation frequency of JIT practices varies with organization ownerships; the foreign and joint venture firms (JVFs) were found to have a higher level of JIT implementation and can also achieve better performance from JIT implementation than state‐owned and private‐owned firms (POF). Also, JIT implementation was found to have a significantly positive relationship with operations performance in all types of ownership firms, with the exception of private ownership firms.

Research limitations/implications

The research only covers manufacturing firms in China. Further research is needed to test the wide implications of this research in other countries or industries.

Practical implications

This paper provides insights into how to improve JIT implementation performances, especially in various organization ownership structures.

Originality/value

The paper appears to be one of the first studies of relationship between ownership structure and JIT implementation in China manufacturing environment.

Details

International Journal of Operations & Production Management, vol. 33 no. 9
Type: Research Article
ISSN: 0144-3577

Keywords

1 – 10 of 27