A new lean change methodology for small & medium sized enterprises

SMEs find it difficult to implement productivity improvement tools, particularly those associated with Lean Manufacturing. Larger companies have more success due to greater access to resources. To provide the SMEs with a way to implement Lean sustainably, the European project ERIP develops a new lean change methodology for SMEs. In this paper the methodology is explained and three test cases show the strength of the methodology. The method is a sequence of achieving management and company support, starting with data analysis and identifying problems and consequently solving these problems. Within the workshops, training of employees is conducted. The three test cases show that even through limited efforts, a good productivity improvement can be achieved in a sustainable manner

Supply chain uncertainty:a review and theoretical foundation for future research

Supply-chain uncertainty is an issue with which every practising manager wrestles, deriving from the increasing complexity of global supply networks. Taking a broad view of supply-chain uncertainty (incorporating supply-chain risk), this paper seeks to review the literature in this area and develop a theoretical foundation for future research. The literature review identifies a comprehensive list of 14 sources of uncertainty, including those that have received much research attention, such as the bullwhip effect, and those more recently described, such as parallel interaction. Approaches to managing these sources of uncertainty are classified into: 10 approaches that seek to reduce uncertainty at its source; and, 11 approaches that seek to cope with it, thereby minimising its impact on performance. Manufacturing strategy theory, including the concepts of alignment and contingency, is then used to develop a model of supply-chain uncertainty, which is populated using the literature review to show alignment between uncertainty sources and management strategies. Future research proposed includes more empirical research in order to further investigate: which uncertainties occur in particular industrial contexts; the impact of appropriate sources/management strategy alignment on performance; and the complex interplay between management strategies and multiple sources of uncertainty (positive or negative)

People driven productivity : Lean for small businesses

Lean as structured method to improve productivity has earned its undisputed place during the last 10 years. The combination of a people-oriented philosophy, combined with simple but effective methods, has led to considerable improvements in almost all industry sectors. However it becomes increasingly clear that introducing Lean requires knowledge and efforts that are outside the possibilities of small businesses. The paper reports on the preliminary results of a concerted research effort towards an effective method to introduce Lean in small production enterprises (SME‟s). Anticipated results are operational and practical findings for improving success rates of adoption. This should widen considerably the range of businesses that can benefit from this structured improvement process. It would also allow policymakers to better target support measures to small businesses

ICT and Lean Management: Will They Ever Get Along?

In companies, Information and Communication Technologies (ICTs) accelerate the speed with which information is exchanged between employees, facilitate the processing of data and improve the quality of intra-company communication. As such, ICTs are powerful management support tools and can help to boost firms' performance. However, there is no consensus as to the way in which they should be used. The aim of this article is to contribute to the discussion on the various ways that ICTs are used in companies. Its empirical analysis is based on observations of the paradoxical practices and reasoning that dominate the lean manufacturing approach. Although the lean manufacturing approach considers that ICTs are useful to a degree for carrying out certain tasks, it emphasises the inefficiencies that can result from an inappropriate use of these technologies.Use; Information and Communication Technology; Lean Management; Information Systems; Toyota Production System

Models and metaphors: complexity theory and through-life management in the built environment

Complexity thinking may have both modelling and metaphorical applications in the through-life management of the built environment. These two distinct approaches are examined and compared. In the first instance, some of the sources of complexity in the design, construction and maintenance of the built environment are identified. The metaphorical use of complexity in management thinking and its application in the built environment are briefly examined. This is followed by an exploration of modelling techniques relevant to built environment concerns. Non-linear and complex mathematical techniques such as fuzzy logic, cellular automata and attractors, may be applicable to their analysis. Existing software tools are identified and examples of successful built environment applications of complexity modelling are given. Some issues that arise include the definition of phenomena in a mathematically usable way, the functionality of available software and the possibility of going beyond representational modelling. Further questions arising from the application of complexity thinking are discussed, including the possibilities for confusion that arise from the use of metaphor. The metaphor of a 'commentary machine' is suggested as a possible way forward and it is suggested that an appropriate linguistic analysis can in certain situations reduce perceived complexity

A framework for smart production-logistics systems based on CPS and industrial IoT

Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. This paper potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems

On New Footnotes to Shingo

The Toyota Production System (TPS) has continually inspired scholars of production management to a search for its essence. Two new interpretations have recently been advanced. Firstly, Johnston has argued that conventional production management is based on an approach to management called management-as-planning. The central assumption is that intentional activity is based on a representation of the world. Thus, management is essentially about planning, i.e. manipulation of that representation. Instead, the TPS is essentially based on an approach called management-as-organizing. Here it is assumed that human activity is inherently situated, i.e. a response to the situation in question. Secondly, Spear and Bowen have claimed that the key to understand the TPS is the idea of the scientific method. When a production standard is defined, it also establishes a hypothesis that can be tested. Thus, they seem to emphasize the approach of managementas- learning as the foundational idea behind the TPS. It is shown that while providing fresh and deeper understanding to management in the TPS, these interpretations are partial and can be positioned inside the view on production management presented by Shingo. In fact, based on Shingo and other extant analysis, it can be argued that there are four approaches to management that are applied in tight coupling and synergistically in the TPS: management-as-organizing, management-as-planning, management-as-adhering and management-as-learning. It is concluded that the superiority of the TPS in comparison to its rivals is founded not only on a better theory of production, but also on a better theory of management