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THE statistical method of controlling product quality during manufacture—a technique commonly known by the shorter title, Quality Control—is a very recent development in the field of production engineering. In point of fact the first application of this technique to machine‐shop production in this country took place late in 1940 at the Croydon works of Messrs. Creed & Co. Ltd., a firm whose name is a household word in electrical communications, for the Creed teleprinter is known all over the world. At the same time it must not be thought that quality control as such, or the use of the so‐called quality control chart as an aid to manufacture, is a purely wartime development. Statistical methods have been employed in British industry, notably in electric lamp manufacture, and in the production of both cotton and woollen textiles, for more than fifteen years, whilst the technique of quality control itself was originated by Dr. W. A. Shewhart of the Bell Telephone Laboratories, New York, in 1922. But where engineering practice was concerned, the application of statistical methods did not present itself until quite recently as a necessary or even convenient solution of manufacturing difficulties.

WORK Study is today a much over‐worked word. Like others of its kind it deserves more accurate definition than it usually gets.

In this first of a two‐part series, the methodology for the research is described. This took the form of a postal questionnaire carried out in conjunction with the Institute of Industrial Managers to establish the current situation. The results were compared with a similar study carried out in 1980. Work on the questionnaire was supplemented by a series of interviews and in‐company work. This included measurement of the movement of materials through the system and machine utilisation, the results and conclusions from which are presented. Part II of the series proposes a methodology for sustained improvement of production management systems.

The purpose of this paper is to investigate the relations in the Marketing/Operations interface through the analysis of data of the operational reality of a Brazilian company with a low technological intensity. The study aims to quantify and determine the impacts of marketing decisions on delivery performance and on flexibility of the operations area.

A longitudinal case study was conducted and the variables used in the model were derived from established theories and were evaluated with artificial neural networks. The case of a food manufacturing company was selected to reflect the relations in the marketing/operations interface of a low technological intensity enterprise.

The results show that the decisions on Place/Channel, Price and Product dimensions of marketing exert a significant impact on flexibility and delivery performance of the operation area.

The findings of the case study cannot be generalised and the outcomes are specific to just one firm. However, the approach lends itself to replication, particularly within low technological intensity companies.

Prior studies have focussed on coordination among functional areas as marketing and operations at higher levels of abstraction. The study contemplate empirical propositions through the data analysis of a company with a low technological intensity that can be used to improve managers' decisions and alignment in the Marketing/Operation Interface.

Circular supply chain management (CSCM) is proving to be a strong contributor towards sustainable development. The purpose of this study is to analyse the circular practices in CSCM implementation towards sustainability in the Indian auto sector; these practices are at the initial stage in a developing economy.

In this research work, a framework has been developed to enrich understanding of various CSCM practices for sustainability. To develop a causal framework, a Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) methodology has been adopted.

The results produce 32 practices with cause and effect groups and their importance/priorities. Based on F-DEMATEL, these 32 practices are grouped into cause and effect groups based on R + C and R − C values.

The findings will help managers and decision-makers to gain a deeper understanding of the practices and their nature; the governmental and financial practices are identified as the most critical factors that need more attention. The results will help strategy makers to plan accordingly.

This research has identified and analysed 32 basic practices and their interrelationships to achieve sustainability in CSCM.

This study identifies and analyzes practices related to declarative knowledge of organizational learning in the product development process (PDP) that uses the Stage-Gate (SG) system.

The field research was conducted with a qualitative approach through a case study. The study object was a multinational company in the automotive sector that is highly competent in truck chassis design with a PDP based on the SG system.

The authors identified PDPs associated with the elements of declarative knowledge of organizational learning in intra- and inter-development teams. Rather than merely being a checklist, each gate in the SG system has the potential to become a more effective and robust intra-team learning practice and promote inputs for continuous improvement in the process through its use as a checkpoint of the five elements of declarative knowledge during the development activities.

The case study was conducted in a multinational company in the automotive sector, whose business units are divided by competencies. The unit studied is a reference in truck chassis and is located in the State of São Paulo, Brazil.

The research model presented can be used to evaluate how companies exploit their activities and practices to leverage organizational learning in PDP. That is, the model can be used as a diagnostic reference for declarative knowledge in companies that apply the SG system to manage PDP.

The study focuses on a model of PDP analysis, aspects of organizational learning and declarative knowledge, in that the model it assists in the collection, distribution and use of information to the development team members with a view for products with greater innovation potential.

Esta pesquisa tem como objetivo identificar e analisar práticas relacionadas ao conhecimento declarativo da aprendizagem organizacional no processo de desenvolvimento de produtos que utilizam o sistema Stage-Gate (SG).

A pesquisa de campo foi realizada com abordagem qualitativa por meio de um estudo de caso. O objeto de estudo foi uma empresa multinacional do setor automotivo de alta competência em projeto de chassis de caminhões com processo de desenvolvimento de produto baseado no sistema Stage-Gate.

A descrição das práticas já existentes no PDP de uma empresa multinacional do setor automotivo e que estão associadas aos elementos do conhecimento declarativo da aprendizagem organizacional nos ambientes intra e inter equipe. O gate ao invés de ser apenas um checklist, tem potential de se tornar uma prática de aprendizado intra-equipe mais efetiva e robusta e promover inputs para melhoria contínua do PDP através da utilização dele como um ponto de verificação dos 5 elementos do conhecimento declarativo que foram conduzidos pelo time de projeto durante as atividades de desenvolvimento.

O modelo de análise apresentado pelo artigo pode servir como base de avaliação de como as empresas exploram suas atividades e práticas de desenvolvimento de produtos durante as revisões de fase para garantir a aprendizagem organizacional, ou seja, como referencial de diagnóstico do conhecimento declarativo em empresas que aplicam a sistemática de stage-gates para o gerenciamento de PDP.

O artigo une em um modelo para análise de PDP, aspectos de aprendizagem organizacional e conhecimento declarativo, na medida em que ela auxilia na coleta, distribuição e utilização de informação aos membros do PDP com vistas a produtos com maior potential de inovação.

Companies are increasingly adopting technologies that can promote integration between functions and tasks. The implementation of these technologies has largely concerned the tasks of installation and the technical integration of the system. However, insufficient attention appears to have been directed towards organizational and managerial integration issues. Argues, based on empirical data from 15 UK engineering companies, that effective implementation of integrating technology requires a better understanding of issues concerning the integration of functions/tasks involved. Focuses on the issues and problems concerning managers involved with improving engineering/production integration, and proposes alternative organizational and technical mechanisms for implementing such integration. Reviews these mechanisms by reference to the engineering case companies.

Examines Just‐in‐Time (JIT) from its evolution as a Japanese concept through to a review of its philosophy and implementation. Cites several techniques of implementation. Includes a review of the early work of various researchers and practitioners. Concludes that JIT is a very effective manufacturing philosophy which is universal in nature encompassing all aspects of manufacturing. Suggests a few deficiencies in current literature.

Production engineering has changed extensively in the last decade and today as many production engineers are found in the non‐metal cutting industries as in the old traditional metal cutting ones. Even metal cutting techniques have changed with the introduction of computer‐controlled machine tools, computer‐aided design, robotics and the semi‐automated factory.

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.