Manufacturing planning and control approaches: market alignment and performance

The design of manufacturing planning and control (MPC) systems is a strategic decision for manufacturing operations. In this paper we analyze the interrelationships between the choice of MPC approaches at different hierarchical levels with market requirements and operational performance. These relationships are explored through an extensive survey comprising responses from 128 manufacturing firms. The results show that the choice of MPC approaches, primarily at the sales and operations planning and master scheduling levels, has a significant mediating role in improving performance. The alignment between market requirements and the choice of MPC approaches is significant and has a significant impact on performance. In a dynamic environment, the choice of MPC approaches is shown to have a positive mediating effect on operational performance.     

Integrated scheduling and tool management in flexible manufacturing systems

A multistage algorithm is proposed that will solve the scheduling problem in a flexible manufacturing system by considering the interrelated subproblems of processing time control, tool allocation and machining conditions optimization. The main objective of the proposed algorithm is to minimize total production cost consisting of tooling, operational and tardiness costs. The proposed integrated approach recognizes an important trade-off in automated manufacturing systems that has been largely unrecognized, and which is believed can be effectively exploited to improve production efficiency and lead to substantial cost reductions.     

Strategic alliance formation and the effects on the performance of manufacturing enterprises from supply chain perspective

This study examines the antecedents of strategic alliance formation in manufacturing firms in China, the alliance effect on innovation capability and dyadic quality performance, and how these two organisational capabilities are related to the supply chain performance of Chinese manufacturing enterprises in Shanghai. We perform a series of statistical techniques including logistic regression analysis, multivariate analysis of variance (MANOVA) and multiple regression analysis for assessing the hypothesised relationships. Our findings indicate that relational stability and effective communication are significant antecedent factors influencing strategic alliance formation among Chinese manufacturing enterprises. Such alliance formation is found to benefit innovation capability and dyadic quality performance, which are significant contributors to the supply chain performance of Chinese manufacturers. We provide important theoretical and practical implications on these antecedents and consequences of strategic alliance formation leading to supply chain performance in the Chinese manufacturing context.     

How supply quality management improves an organization's quality performance: a study of Chinese manufacturing firms

Because of unfavourable economic conditions, organizations worldwide have to constantly reconstruct their business strategies in order to survive. Recent studies have stressed the importance of supply quality management (SQM) for the general competitiveness of manufacturers. However, very little empirical research has been carried out that specifically examines how SQM practices lead to improvements in quality across an organization. To scrutinise the impact of SQM practices, a survey was conducted of 138 leading manufacturing companies in the Pearl River Delta (PRD), a manufacturing hub in southern China dubbed ‘the factory floor of the world’. By using path analytic techniques, a model was constructed to portray the relationships among SQM practices and organizational quality performance. This model could act as a tool of reference for companies seeking to improve their SQM systems, and help them in their efforts to raise quality across the company. This paper demonstrates that quality-conscious management practices speed up the implementation of SQM practices. This paper finally reveals the influential effect of SQM practices on both supply quality and organizational quality performance.     

Analysis of the steady state probability distribution of a manufacturing system under the prioritised hedging point control policy

In order to evaluate the average production cost of a multi-product-type, multi-stage and multi-parallel-machine manufacturing system (denoted as mP/mS/mM), one of the effective ways is to obtain its steady-state probability distribution. Because the two-product-type and multi-parallel-machine system that demand backlog is not allowed can be considered as a basic building block of the mP/mS/mM system, we begin by investigating the method of obtaining its steady-state probability distribution under the prioritised hedging point control policy. Although the shape of the distribution domains of the work-in-process (WIP) levels influences the steady-state probability balance equations, we develop a unified form of the marginal probability balance equations for all the possible shapes of distribution domains, which can be used to calculate the marginal probability distribution for each product type for the two-product-type and multi-parallel-machine system. Furthermore, we extend this analysis method to both the multiple-product-type, multi-parallel-machine, and single-stage system and the more complex mP/mS/mM system, and propose a method to obtain their approximate marginal probability distributions of the WIP levels. Finally, numerical experiments are conducted to verify the accuracy of the proposed method of analysing the steady-state probability distribution of an mP/mS/mM system.     

Integrated analysis of the performance of TQM tools and techniques: a case study in the Taiwanese motor industry

Most studies of total quality management (TQM) have focused on the managerial aspects and associated success factors of TQM programmes, whereas relatively few studies have examined the appropriateness and performance of the large number of available tools and techniques that actually implement TQM practices. To assist in determining the best strategy for improving the performance of TQM tools and techniques, the present study integrates a modified importance–performance matrix with elements of failure mode and effects analysis (FMEA) to provide a comprehensive methodology for assessing and improving the performance of TQM tools and techniques in the Taiwanese motor industry. The methodology presented here can be applied in a variety of industries, including the Taiwanese motor industry, to enable efficient utilisation of TQM tools and techniques and thus improve quality, reduce costs and shorten cycle times.