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Cellular manufacturing is the organisation of manufacturing equipment based on the requirements of the product or component. Transition to cellular manufacturing generally requires reorganisation of existing equipment. It is likely that the existing equipment alone is not suitable for a cellular layout. During the cell planning and design phase equipment investment analysis is important to identify equipment needs. Transition from job shop production to cellular production is detailed. Cell formation and cell evaluation techniques are provided to assist in equipment procurement decisions. In particular, a structured procedure and analytical tools are given to evaluate fully the cellular system to identify appropriate equipment and methods. A case example is provided to explain the procedure.

The purpose of this paper is to provide a report of the world first robotized cellular production system developed by IDEC Corporation.

The work is based on an interview with the development team of IDEC Corporation.

The paper finds that the IDEC system is a success that paved a way to the future automated cellular production system that enables high‐mix, low‐volume production.

The paper provides an up‐to‐date insight into how to automate high‐mix low‐volume production.

The paper elaborates how a robotized cellular production system is realized.

Proposes a virtual cellular manufacturing approach to implementing cellular manufacturing systems that combines the set‐up efficiency typically obtained by traditional cellular manufacturing or group technology systems with the flexibility of a job shop. Unlike traditional cellular systems in which the shop is physically designed as a series of cells, cells are formed within a shop utilizing a process layout using scheduling mechanisms. The result is the formation of cells that are temporary and logical (virtual) in nature, allowing them to be more responsive to changes in demand patterns. Simulation runs comparing this approach to production using traditional cellular and job shop approaches indicate that this new approach yields significantly better shop performance over a range of operating conditions.

A systems framework for food production systems is posited in order to enable comparisons to be made with production operations outside the catering industry. By comparing “Cook Chill” and “Fast Food” systems it is seen that cellular production has been adopted. Other operations management techniques can similarly be applied.

Inventory control models deal with production planning in order to minimize inventory and shortage cost, while cellular manufacturing analysis mainly addresses how machines should be grouped and parts be produced. A mathematical programming model is developed using an integrated approach for production and inventory planning in a cellular manufacturing environment. The mathematical programming model minimizes inter‐cell material handling cost, finished‐good inventory cost and system set‐up cost. The non‐linear mixed integer programming model cannot be directly solved for real size practical problems due to its NP‐complexity. A decomposition‐based heuristic algorithm was then developed to efficiently solve the integrated planning and control problem. Numerical examples are provided to test and illustrate the model and the solution method presented in this paper.

The aim of this paper is to illustrate a solution that can be used to reduce the severity of breakdowns and improve performances in the cellular manufacturing (CM) system with unreliable machines.

The performance of CM system is conditioned by disruptive events, such as the failure of machines, which randomly occurs and penalizes the performance of the cells, seriously disturbing the smooth working of the factory. To overcome the problem caused by the breakdowns, the authors develop a solution, based on the principle of virtual cell and the notion of intercellular transfer that can improve the availability of the system. In this context, the use an analytical method based on Markov chains to model the availability of the cell. The results are validated using simulation.

The proposed solution in this paper confirmed that it is possible to reduce the severity of breakdowns in the CM system and improve the availability of the cells through an intercellular transfer created at the time of a breakdown. Simulation allowed a validation of the analytical model and showed the contribution of the suggested solution.

The developed approach studies the performance of the production cells formed by unreliable machines. It uses the notion of the intercellular transfer to improve the availability of the cells.

The purpose of this paper is to advocate a change of perspective in the development of information science. At stake is whether this science will be able to make sense of both the astounding new practices in the world of knowledge and the even more astounding social transformations that revolve around information technologies. Tentatively a new way of thinking could be articulated along the guidelines herein discussed. An initial and important aspect concerns the definition of information itself. Rather than continuing with the endless discussions on what is information, it will be proposed, first, that information is indefinable per se; and second, that a consensus notion(s) might be established on how information should be handled in the core fields – or at least in the analysis of some prototypical “informational entities”.

The research strategy proposed, naturalistic and empirically oriented, is based on the intertwining of self-production and communication flows as fundamental characteristics of informational entities – about “being in the world” in the informational way. Living cells, organisms (nervous systems), individuals, enterprises-markets, and societies would manifest these characteristics. In all of these existential realms, it is the collective action of communicating, self-producing agents or entities (“informational” ones, for short), connected in multiple, flexible ways, what makes possible the unfathomable complexity and adaptability emerging at all functional scales.

Along this new perspective, meaning, knowledge, and intelligence may be approached rather consistently. The new conceptualizations may also be linked with the information revolution and the extraordinary expansion of knowledge in the times; a parallel with the knowledge-fundamentals of biological complexity will be suggested.

Among the many problems to tackle for a renewed information science, a relevant matter concerns the way to organize the dialogue among so many different disciplinary perspectives dealing with information: it becomes an open question, indeed.

The purpose of this article is to conduct a bibliometric analysis of the cellular manufacturing system (CMS) literature published from 1982–2021 to identify key issues and trends for the future.

A six-stage methodology is used to conduct a literature review, which includes: (1) article collection; (2) inclusion/exclusion criteria; (3) reviewing the articles; (4) analyzing the articles; (5) framework development; and (6) future research directions. A total of 936 CMS-specific articles are reviewed. This paper made use of three software tools: the R package, VOSviewer and SciMAT.

According to the findings, the majority of CM researchers focused on cell formation and design. The USA, Iran and India are the top three leading publishers. Additionally, the gap and future direction of CM are discussed.

To the best of the authors' knowledge, the current study is the first attempt to investigate CMS evaluation through bibliometric and thematic analysis and provides a decisional framework as well as steps for CMS adoption. For individuals who are interested in understanding more about CMS and its evolution, this paper offers a starting point.

The purpose of this paper is to investigate the impact of lean operations practice and design on the Chinese manufacturing performance, using lean assessment data from 65 plants in various industries.

Exploratory factor and regression analyses are used to examine the associations among operations practice, production design, and operations performance. Three constructs are developed, two for operations practice (human resources and supply chains) and one for production design.

Factor analysis shows that three factors are sufficient to represent the lean performance dimensions of flow, flexibility, and quality. Regression analysis shows that the lean performance factors are strongly related to operations practice and production system design. Using lean factors and operations practice/design, our results indicate significant gaps in lean manufacturing practices among different industries, with the petroleum and hi‐tech industries performing relatively best. In addition, the garment industry performs very well in flexibility, indicating it does not compete just on price, but also on rapid response. Finally, all industries perform well in quality, underlining the emerging economy character of China. These results support other recent findings of the positive impact of lean operations on the performance of the Chinese manufacturing sector.

The paper's findings, which are based on the experience of selected manufacturing plants in China, should not be interpreted as indicative of the characteristics of the Chinese manufacturing plants in general.

This paper advances the evidence on the role of lean manufacturing in two ways. First, to derive more robust statistical results, the paper relies on primary lean assessment data, as opposed to secondary opinion survey data common to most other studies. Second, to obtain more general findings, the paper makes use of a wider set of relevant variables, both for assessing manufacturing practice and performance, than is usual in the literature.