EXPLAINING PLANT-LEVEL DIFFERENCES IN MANUFACTURING OVERHEAD: STRUCTURAL AND EXECUTIONAL COST DRIVERS IN THE WORLD AUTO INDUSTRY

Using data from 62 automobile assembly plants worldwide, we examine the extent to which various structural cost drivers (plant scale, automation, and product mix complexity) and exe-cutionalcost drivers (product manufacturability, management policies, and production practices) account for plant-level differences in manufacturing overhead. Our analysis of structural drivers finds that overhead hours per vehicle are negatively associated with production volumes, consistent with economies of scale in overhead functions. However, automation appears to have little influence on overhead levels. Product mix complexity's effect on overhead requirements varies with the complexity's form and the plant's manufacturing capabilities. Option and parts complexity (measures of peripheral and intermediate product variety) both exhibit adverse effects on overhead, reflecting the considerable logistical, coordination, and supervisory challenges that accompany an increased number of parts and more complex manufacturing tasks. In contrast, model mix complexity (a measure of fundamental variety) appears to have little impact on direct or overhead labor requirements in auto assembly plants. Our analysis of executional drivers provides empirical support for the claim that advanced manufacturing practices such as the reduction of buffers, multiskilled production workers, and the use of teams can lower overhead costs. We also find preliminary evidence that the lower overhead costs in Japanese auto assembly plants are due primarily to the use of multiskilled work teams and the shifting of traditional overhead activities to production workers. Overall, our results indicate that manufacturing overhead is a function not only of the structural cost drivers that have dominated the academic literature but also of executional cost drivers that are harder to duplicate and therefore potentially more valuable for achieving competitive advantage.     

REVISITING ALTERNATIVE THEORETICAL PARADIGMS IN MANUFACTURING STRATEGY

Testing and cross‐validation of theories and paradigms are necessary to advance the field of manufacturing strategy. When the findings of one study are also obtained in other studies, using entirely different databases, we become more confident in the results. Replication alleviates concerns about spurious results and is one motivation for this study. We examine aspects of the tradeoffs concept, production competence paradigm, and a manufacturing strategy taxonomy framework. In regard to the tradeoffs concept, we found evidence of tradeoffs between some, but certainly not all, manufacturing capabilities of quality, cost, delivery, and customization. The relationships get sharper when controlling for process choice. For example, the tradeoff between cost and customization is particularly strong between plants that have different process choices. We find that such tradeoffs can change, or even disappear, however, once the process choice is in place. With respect to the production competence paradigm, our analysis shows a statistically significant correlation between production competence and operations performance in batch shops, but not in plants with other process choices. Finally, using variables similar to those of Miller and Roth, our data produced three similar clusters even though their unit of analysis was much more macro than ours. Controlling for process choice is consistent with the current manufacturing strategy literature that emphasizes dynamic development of capabilities within the context of path dependencies. A major argument of this strand of research is that operations decisions not only affect current capabilities, but also set the framework for development of capabilities in the future. That being the case, controlling for process choice (or other factors such as industry or markets) should contribute to the understanding of capability‐development paths adopted by different manufacturing plants. In short, we found at least partial support for each of the theories examined here, even though the theories seem on the surface to be contradictory and mutually exclusive. Controlling for process choice or other measures of dependency goes a long way in uncovering consistency across different theories and empirical studies in operations management.     

A FRAMEWORK AND MEASUREMENT INSTRUMENT FOR JUST-IN-TIME MANUFACTURING

While Just-in-Time (JIT) manufacturing has emerged as one of the major tools to enhance manufacturing competitiveness, no attempt has been made to develop a reliable and valid measurement instrument for empirical research in JIT. Without such an instrument, generalization beyond the immediate sample is difficult or misleading. We have proposed a JIT framework and developed a valid and reliable instrument with 16 summated scales for dimensions that capture essential aspects of JIT useful in assessing its impact in manufacturing environments. In addition, we discuss in detail the interactive nature of JIT practice. And, we propose a step-by-step approach to reliability and validity testing. Four JIT practices (equipment layout, pull system support, supplier quality level, and Kanban) are identified as major contributing factors to JIT performance.     

THE PLANT LOCATION DECISION IN MULTINATIONAL MANUFACTURING FIRMS: AN EMPIRICAL ANALYSIS OF INTERNATIONAL BUSINESS AND MANUFACTURING STRATEGY PERSPECTIVES

The paper combines perspectives from international business and manufacturing to examine multinational plant location decisions. The location choice in manufacturing is between integrated and independent plants, while the international choice is between a foreign and domestic plant relative to their headquarters' country. The study empirically investigates whether these choices have different plant location determinants using data from a survey of plant managers of large, multinational firms. We find more evidence that the manufacturing choices benefit from consideration of international business issues than vice versa. However, managers rank determinants associated with manufacturing strategy considerably higher than those associated with intemational business.     

DEVELOPMENT AND R&D CAPABILITY AT MANUFACTURING SITES: ELECTRONICS MULTINATIONALS IN SINGAPORE AND TAIWAN

In this paper we present the results of an empirical study of the manufacturing sites of foreign electronics companies in Singapore and Taiwan. The manufacturing and R&D capabilities at the sites are assessed. The way in which host government policies interact with R&D development at the sites and the speed of the R&D development are also considered. The results suggest that Singapore and Taiwan are now host to some advanced manufacturing and R&D operations. We show, however, that the product design work at the sites visited is never leading edge for the companies concerned. The speed at which product design responsibilities were designated to the sites is shown to be rapid when compared to an earlier study of foreign sites in the United Kingdom. We indicate areas in which national strategies in Singapore and Taiwan may have contributed to this faster development. In Singapore, we identify tax holidays and R&D grants as contributing to the pace of development.     

BUSINESS STRATEGY,MANUFACTURING FLEXIBILITY,AND ORGANIZATIONAL PERFORMANCE RELATIONSHIPS: A PATH ANALYSIS APPROACH

It has been argued in the literature that business strategy and manufacturing flexibility independently affect the performance of an organization. However, no empirical examination of the interrelationship among these three constructs has been performed. In this paper, based on a field study of 269 firms in the manufacturing industry, the identified constructs have been used to test a theoretical model using path analysis techniques. Our results indicate that business strategy contributes both directly and indirectly to organizational performance. The findings provide evidence of direct effects of (i) business strategy on manufacturing flexibility and (ii) manufacturing flexibility on organizational performance.     

Measuring Modularity‐Based Manufacturing Practices and Their Impact on Mass Customization Capability: A Customer‐Driven Perspective

As uncertainty in markets and technology intensifies, more companies are adopting modular product and process architectures to cope with increasing demands for individually customized products. Modularity‐based manufacturing is the application of unit standardization or substitution principles to create modular components and processes that can be configured into a wide range of end products to meet specific customer needs. This study defines modularity‐based manufacturing practices (MBMP), develops a valid and reliable instrument to measure MBMP, builds a framework that relates customer closeness, MBMP, and mass customization capability, and tests structural relationships within this framework using LISREL. Based on 303 responses from members of the Society of Manufacturing Engineers, statistically significant and positive relationships were found among customer closeness, modularity‐based manufacturing practices, and mass customization capability. Managerial implications of the empirical findings of this study and future research directions are also discussed.     

EFFECTS OF OPERATIONAL EMPLOYEE SKILLS ON ADVANCED MANUFACTURING TECHNOLOGY PERFORMANCE

This study employs structured interviews in a field setting to develop an in‐depth understanding of how a specific human resource decision affected manufacturing performance at 30 plants using advanced manufacturing technologies. Initial results suggested that there is no relationship between the skill level of operational employees and the level of performance of the installations. When a measure of “fit” between environmental characteristics and skills was employed, however, there was a significant relationship between the fit measure and performance.     

STATE-OF-THE-ART SURVEY: OPEN QUEUEING NETWORKS: OPTIMIZATION AND PERFORMANCE EVALUATION MODELS FOR DISCRETE MANUFACTURING SYSTEMS

In this survey we review methods to analyze open queueing network models for discrete manufacturing systems. We focus on design and planning models for job shops. The survey is divided in two parts: in the first we review exact and approximate decomposition methods for performance evaluation models for single and multiple product class networks. The second part reviews optimization models of three categories of problems: the first minimizes capital investment subject to attaining a performance measure (WIP or lead time), the second seeks to optimize the performance measure subject to resource constraints, and the third explores recent research developments in complexity reduction through shop redesign and products partitioning.     

MANUFACTURING STRATEGY AND BUSINESS ORIGIN OF NEW VENTURE FIRMS IN THE COMPUTER AND COMMUNICATIONS EQUIPMENT INDUSTRIES

With the use of questionnaire data from owners, presidents, CEOs, and chairmen of boards and a logistic regression approach, we analyzed the manufacturing strategies of 64 new-venture firms in the computer and communications equipment manufacturing industries. We found statistically significant differences in manufacturing posture as a function of whether the new venture was corporate-sponsored or independent (i.e., new venture origin). The findings suggest that independent firms attack the market with superior product quality with the use of technology in the public domain. They offer a narrow range of products directed to a few large customers and do not make developing new products a primary issue. In contrast, corporate-sponsored tirms are less concerned with superior product quality but emphasize patented technology and new product development. They provide a broader range of products and service smaller customer orders.     

COMPETITIVE PRIORITIES: INVESTIGATING THE NEED FOR TRADE‐OFFS IN OPERATIONS STRATEGY

A heated debate continues over the need for trade‐offs in operations strategy. Some researchers call for plants to focus on a single manufacturing capability and devote their limited resources accordingly, while others claim that advanced manufacturing technology (amt) enables concurrent improvements in quality, cost, flexibility, and delivery. Yet there is little empirical evidence for or against the trade‐off model. In response, this study addresses the question: “To what extent do manufacturing plants view competitive priorities as trade‐offs?” We employ survey data collected from managers and operators in 110 plants that have recently implemented AMT. Our findings suggest that trade‐offs remain. However, perceived differences in competitive priorities are subtle and may vary across levels of the plant hierarchy.     

A SYSTEMATIC STRATEGY FOR OPTIMIZING MANUFACTURING OPERATIONS

A manufacturing optimization strategy is developed and demonstrated, which combines an asset utilization model and a process optimization framework with multivariate statistical analysis in a systematic manner to focus and drive process improvement activities. Although this manufacturing strategy is broadly applicable, the approach is discussed with respect to a polymer sheet manufacturing operation. The asset utilization (AU) model demonstrates that efficient equipment utilization can be monitored quantitatively and improvement opportunities identified so that the greatest benefit to the operation can be obtained. The process optimization framework, comprised of three parallel activities and a designed experiment, establishes the process-product relationship. The overall strategy of predictive model development provided from the parallel activities comprising the optimization framework is to synthesize a model based on existing data, both qualitative and quantitative, using canonical discriminant analysis, to identify main effect variables affecting the principal efficiency constraints identified using AU, operator knowledge and order-of-magni-tude calculations are then employed to refine this model using designed experiments, where appropriate, to facilitate the development of a quantitative, proactive optimization strategy for eliminating the constraints. Most importantly, this overall strategy plays a significant role in demonstrating, and facilitating employee acceptance, that the manufacturing operation has evolved from an experienced-based process to one based on quantifiable science.     

Product diversification through licensing: Empirical evidence from Chinese firms

Anecdotal evidence suggests that manufacturing firms are able to engage in product diversification through external technology acquisitions, such as technology licensing. However, there is little empirical evidence regarding this proposition to link inward technology licensing and firms’ product diversification or to suggest when and under what conditions the effect of diversification through this channel may be mitigated or augmented. The current study aims to address this research gap through an empirical investigation of a sample of 141 Chinese manufacturing licensee firms. The results indicate that inward technology licensing is positively related to a firm’s diversification and that this relationship is further moderated by a licensee firm’s R&D expenditure and technological distance relative to the licensor firm.     

An Empirical Investigation of the Contribution of Strategic Sourcing to Manufacturing Flexibilities and Performance*

Empirical studies for achieving manufacturing flexibility goals have centered around the uses and advantages of advanced technology. Few studies have examined alternative ways of attaining flexibility objectives. Strategic sourcing finds mention in the literature as a potential route to manufacturing flexibility. However, little empirical evidence exists to validate this view. Literature also describes manufacturing flexibility as a multidimensional concept but fails to adequately examine the synergies among the different dimensions. This research investigates the influence of strategic sourcing and advanced manufacturing technologies on specific manufacturing flexibilities, and examines relationships among different flexibilities. The results are tied to manufacturing cost reduction. The findings suggest that strategic sourcing can assist in the achievement of modification flexibilities. Volume and modification flexibility are found to influence new product flexibility. Modification flexibility is found to influence manufacturing cost reduction. The results show that strategic sourcing can be used to target specific manufacturing flexibilities and that interflexibility synergies need to be considered while formulating flexibility-based manufacturing strategies.     

MANUFACTURING PROCESS TECHNOLOGY and SUPPORT STAFF COMPOSITION: AN EMPIRICAL VIEW OF INDUSTRY EVIDENCE

Despite the attention given to restructuring and trimming down manufacturing firms during the 198Os, little attention has been paid to the mix of skills they needed under different circumstances. We examined the patterns of employment by occupation in manufacturing industries utilizing different production technologies and the effect of establishment size on nonproduction employment. We found that a relationship exists between production technology and nonproduction employment per 100 production workers. Establishment size is found to be a moderator between nonproduction employment and production technology. Our findings imply two clear messages for managers. First, when considering major changes in production technology, managers should be aware that the supporting skills they will need from their nonproduction work force are likely to change greatly. Further, these changes involve technical and managerial workers as well as clerical and production support people. Second, they should restructure the functional or occupational mix of an organization in the context of the process technologies in place. Different process technologies require different structures.     

INCLUDING ENGINEERING IN OPERATIONS STRATEGY

Today's markets are characterized by time and product quality-based competition. Companies must compete through their ability to manage the whole cycle of product realization and delivery, from the initial concept through to delivery and support at the customer. They must do this through managing an integrated company, not a set of separate functions. This paper addresses the issue of how companies should develop operations strategies for engineering and manufacturing combined. It uses field research into 15 engineering companies to develop the concept of the manufacturing system mission, and proposes strategic choices for manufacturing, engineering and linked functions.     

SERVICE-BASED MANUFACTURING: THE SERVICE FACTORY

Evidence suggests that factory-based service will become the next form of competition among manufacturers. If this is true, then manufacturing executives will have to obtain a clear understanding of the service capabilities of their plants and adjust their strategies accordingly. We define a set of factory-based services, information, problem solving, sales, and support, and suggest that they be considered in developing manufacturing strategy. Several propositions provide a framework for future research by linking service performance variables to conventionally accepted manufacturing performance variables.     

CHANGING MANUFACTURING STRATEGY

This paper demonstrates an approach to successfully managing change of manufacturing strategy. It first introduces the issues and management guidelines, and then describes how one company used this approach to achieve dramatic benefits from changing its manufacturing strategy. A third part of the paper elaborates on how the company made the approach work.     

BENCHMARKING MANUFACTURING PERFORMANCE IN THE SEMICONDUCTOR INDUSTRY

A methodology for benchmarking manufacturing practices in the worldwide semiconductor industry is presented. Several metrics for measuring semiconductor manufacturing performance are defined and discussed. Interviews conducted during site visits are used to identify the managerial, technical, and organizational practices underlying superior metric performance. Multivariate statistical analyses of the performance metric data indicate that these performance metrics measure independent aspects of performance and expose significant performance differences among fabs.     

MANUFACTURING STRATEGY ON THE “S” CURVE

The concept and techniques of “manufacturing strategy” offer managers the opportunity to use their production function as a strategic weapon in competition, an apparently attractive objective. Yet after about 25 years, the use of manufacturing in corporate strategy (MCS) as a management practice is not widespread. In contrast, however, in academic literature it appears to be flourishing and rapidly growing in popularity. This paper seeks to answer this apparent paradox, beginning with the history of MCS as it was developed as a theory of design to enable a manufacturing system to be focused on a key competitive task. Common criticisms of MCS, such as “tradeoffs,” “focus” and “undynamic,” are examined and refuted as valid reasons for its only modest usage. Instead, three “new” problems in the MCS concept and its techniques are suggested as genuine needs for the completion of the theory and for its becoming more universally understood and used by industrial managers.