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The desirability of transferring manufacturing logic and practices to service operations, strongly advocated by Levitt (1972; 1976) in two classic Harvard Business Review articles two decades ago, is now commonly challenged by both service researchers and practitioners. We defend a “production‐line approach to service” by arguing that services can “reindustrialize” by applying revised, progressive manufacturing technologies. We describe how services businesses such as Taco Bell, Southwest Airlines, and Shouldice Hospital have mastered what we call “lean” service ‐ the application of lean manufacturing principles to their own service operations. Overall, services tend to be innovation laggards, compared to manufacturing. Looking ahead, mass customization can be viewed as the convergence of service and manufacturing logic.

Direct digital manufacturing (DDM) is conceived of as either disrupting the entire manufacturing economy or merely enabling novel production. The purpose of this paper is to introduce an alternative where DDM coexists with and complements traditional mass production. When multiple parts run across one manufacturing line, DDM can isolate variability associated with low volume part production and may be preferred to mass production despite being expensive. If DDM complements rather than cannibalizes mass production, this alters the understanding of who adopts DDM, the products built with DDM, and DDM’s long-term supply chain implications.

This invited paper explores a DDM rollout scenario and qualitatively assesses potential supply chain reconfigurations.

The analysis recognizes that existing manufacturers with heterogeneous bills-of-material may develop DDM capabilities to isolate disruptive, low-volume production from scalable mass production. Developing DDM competence and raw material scale advantages, these manufacturers become the locus of change in a manufacturing landscape increasingly characterized by multi-product DDM supercenters.

Extant research largely focusses on two potential reasons for DDM adoption: cost-per-unit and time-to-delivery comparisons. The authors explore a third driver: DDM’s capacity to isolate manufacturing variability attributable to low volume parts. Relative to the extant literature, this suggests a different DDM rollout, different adopters, and a different supply chain configuration. The authors identify mass manufacturing variability reduction as the mechanism through which DDM may be adopted. This adoption trajectory would eventually enable a supply chain transition in which spare parts inventory migrates from finished goods at proprietary facilities to raw materials at generalized DDM supercenters.

Many innovative companies are experimenting with a strategy of mass customization—the low‐cost production of high variety, even individually customized goods and services. Based on his experiences at IBM and research into mass customization conducted at MIT and at the IBM Consulting Group, the author has identified five basic methods for mass customizing products and services.

The purpose of this paper is to address the gap between definition and practical aspects of production efficiency in mass customization (MC). The paper summarizes all major issues impacting efficiency in MC. Also, the paper reviews metrics, relationship between various parameters and provides a best practices benchmark toolkit to achieve higher machine efficiencies.

The paper identified and categorized multiple challenges impacting machine efficiency in MC through a literature review spanning over three decades, and also ranked the identified issue-based parameters. Top issues were found varying across different types of industries identified through the review. Metrics pertaining to efficiency and degree of MC are reviewed in the paper. A chronological review of issues is presented, and a chain diagram is built in the paper. Toolkit of best practices created with solution strategies and tools are summarized through the review.

The paper found that MC reasonably impacts machine efficiency which needs to be addressed. Major issues through literature review-based ranking are uncovered, and worldwide research trend and comparison are presented. Active research in this area is observed to be at its peak since 2010. The extensive use of strategies and benchmark toolkit for improving efficiency are summarized.

Ranking of issues has been done through a literature review; hence, there can be skewness depending on the frequency of issues researched by various authors in various areas of industries.

This paper is useful for manufacturing managers and companies willing to increase the size of their product portfolio and choices within their available resources without compromising machine efficiencies and, thereby, the cost. The identified issues help in providing a comprehensive issue list to the academia.

This paper describes what is believed to be the first study that explicitly examines the issues faced in achieving machine efficiency while manufacturing in an MC environment.

In this paper, a three-dimensional (3D) printer-based manufacturing line and supporting system, which supports personalized/customized manufacturing for individual businesses or start-up companies, was studied to evaluate the practicality of using additive manufacturing for personalization/mass customization.

First, factory-as-a-service (FaaS) system, which provides factory as a service to customers, was proposed and designed to manufacture various products within a distributed manufacturing environment. This system includes 3D printer-based material extrusion processes, vapor machine/computer numerical control machines as post-processes and assembly and inspection processes with an automated material handling robot in the factory. Second, a virtualization module for the FaaS factory was developed using a simulation model interfaced with a cloud-based order and production-planning system and an internet-of-things-based control and monitoring system. This is part of the system for manufacturing operations, which is capable of dynamic scheduling in a distributed manufacturing environment. In addition, simulation-based virtual production was conducted to verify and evaluate the FaaS factory for the target production scenario. Main information of the simulation also has been identified and included in the virtualization module. Finally, the established system was applied in a sample production scenario to evaluate its practicality and efficiency.

Additive manufacturing is a reliable, feasible and applicable technology, and it can be a core element in smart manufacturing and the realization of personalization/mass customization.

Various studies on additive manufacturing have been conducted with regard to replacing the existing manufacturing methods or integrating with them, but these studies mostly focused on materials or types of additive manufacturing, with few advanced or applied studies on the establishment of a new manufacturing environment for personalization/mass customization.

Traditional production management systems are often designed to support manufacturing based on a limited number of product variants. With the emerging trend of producing customized products to meet diverse customer needs, the number of product variants increases exponentially in mass customization. In a situation of assembly‐to‐order production, production planning and control involve not only product variety, but also process variety. It is imperative to synchronize product and process variety in a coherent manner.

This paper discusses integrated product and production data management for assembly‐to‐order production. An integrated BOM and routing generator is proposed for the purpose of unifying BOM and assembly‐planning data in order to accommodate a wide range of product variability and production variations.

An integrated BOM and routing generator excels in variety synchronization for assembly‐to‐order production planning.

Variety synchronization opens many opportunities for research into mass customization production. It is important to deal with not only the results of high variety production but also the causes of process variations.

The proposed methodology is applicable to manage high variety production like mass customization.

The paper proposes the variety synchronization issue in mass customization. An object‐oriented methodology is applied to manage variety of BOMs and variety of routings.

This paper addresses the issue of mass‐customisation from the point of view of consumer demand. It aims to develop a framework to examine the demand side of the mass‐customisation equation which will allow researchers to identify whether a market of customers who are ready for mass‐customised products exists. In doing so it considers in particular three “inconveniences” of mass‐customisation: the increased price of customised products; the delay in receipt of custom‐made products; and the need for customers to invest time in specifying their preferences before the product can be produced.

Sociologists studying the rise of postmodernism have generally concentrated on either macro-level structures of economy or micro-level subjectivities of individuals. Few have specified how meso-level actions within concrete institutions have produced both these macro- and micro-changes. Bourdieu's concept of field provides a meso-level concept that allows sociologists to explain the transition to a postmodern society by changes in the composition and competition of producers and consumers struggling for advantage in the economy and culture. The chapter focuses on architecture, revealing that the rise of a postmodern aesthetic was the result of internal changes of this field and their complex interrelation with the external changes of an economy in transition from Fordism to post-Fordism.

The purpose of this paper is to propose an integrative model of leagile production and to examine its influence on the quality of products based on Six Sigma approach.

A new model has been proposed in which the three strategies of postponement, mass customization, and modularization are included together with an executive algorithm. The proposed model has been examined using three main products of the Ghods Manufacturing Group, which is a manufacturer of truck body parts, from March to July 2008. In the case study, upstream and downstream processes (after processes warehousing of the semi‐manufactured parts) have been considered for the implementation of lean and agile production strategies, respectively. The product waiting time in the production section has been considered as the lean production indicator, and the warehousing time in the final warehouse has been considered as the indicator of agile manufacturing. These indicators have been evaluated before and after implementation of the proposed model and the sigma level of the studied processes has been evaluated.

The results imply that the sigma level the product A has been improved by 147 percent considering the first indicator and by 8 percent considering the second indicator. Also, product B has 65 and 47 percent and product C has 65 and 150 percent of improvement considering the two indicators, respectively.

The proposed model has not been implemented in a wide range of operations and has not covered all of the products of the case study. Also, due to the lack of literature on standard criteria for evaluating leagile production, the criterion of the duration of waste has been defined and used for leanness and the duration of final storage has been defined and applied to assembly line based on specific orders from customers, which in turn might be realized as a limitation. In comparing the process before and after improvement, there might exist other unknown factors by which, results would be affected.

While the literature includes researches on leagile production and its advantages, this investigation further proposes a leagile production model which includes three strategies of postponement, mass customization, and modularization and is employed based on Six Sigma approach.

The application of McDonald′s product/production principles to other restaurant chains, and totally different social enterprises has been the subject of recent criticism. This “McDonaldization” is said to betoken a world of increased rationalization where large‐scale systems for the mass production of goods and services obliterate small‐scale opposition and give rise to fears for diminished choice in the future. Previously it has been argued that the advance of McDonaldization is far from total and the pessimistic prognosis is at least premature. Criticizes the McDonaldization thesis by reference to an alternative paradigm of “mass customization”. Argues that this is not only the logical next step for the production of goods and services, but also that it is already starting to happen.