Multi-process modelling approach to complex organisation design

Present day markets require manufacturing enterprises (MEs) to be designed and run in a flexibly structured yet optimised way. However, contemporary approaches to ME engineering do not enable this requirement to capture ME attributes such that suitable processes, resource systems and support services can be readily implemented and changed. This study has developed and prototyped a model-driven environment for the design, optimisation and control of MEs with an embedded capability to handle various types of change. This so called Enriched-Process Modelling (E-MPM) Environment can support the engineering of strategic, tactical and operational processes and comprises two parts: (1) an E-MPM Method that informs, structures, and guides modelling activities required at different stages of ME systems design; and (2) an E-MPM Modelling Framework that specifies interconnections between modelling concepts necessary for the design and run time operation of ME systems. [Continues.

Survey of Lean Management Practices in Pakistani Industrial Sectors

This research was undertaken to study the implementation and adoption of Lean management practices across several industrial sectors in Pakistan. A total of 100 companies were surveyed across five industries. The objective was to determine if there was disparity in the implementation of Lean practices and to provide a yardstick to measure that disparity. Furthermore, this study identified Lean management best practices across several industries in Pakistan, thus providing benchmarks for other industrial sectors. The data collected was analysed using various descriptive statistical methods. The results indicated robust adoption and implementation of Lean practices in Pakistani industry, though there were few areas which still require greater acceptance, and hence implementation rates in these areas are modest

Organizational design: need for a socio-technical inclusive system design approach to meet 21st century workforce challenges

Changes occurring in the business and socio-economic global environments increase the complexity of working systems. The global workforce is becoming more diverse where people from different social, cultural, geographical and technical backgrounds work together in spite of their existing differences. Existence of varying human responses caused due to variations in individual’s physical, physiological, psychological, social and cognitive responses to the organizational design becomes a real challenge for designers. Moreover, increase in the number of older workers, also requires the attention of designers, as they are different in many ways. These issues increase the complexity of organizational systems and have serious implications for human factors and ergonomics as this complexity challenges the way conventional organizational systems are designed and implemented. There is a great need to develop new strategies where human variations are rightly understood and then emphasized during organizational design process. A proposed Sociotechnical Inclusive System Design approach has been discussed for addressing social and technical issues of organizational design by integrating socio-technical principles with inclusive thinking so that these challenges might be addressed at the organizational and individual levels. This article briefly describes global workforce challenges like increase in diversity, ageing, and impact of individual level variations on workplace safety and task performance. Finally, it highlights the need to design organizational systems based on diversity and differences where social and technical inclusivity should be an integral part of any design decision so that organizations can effectively utilize their human capital. The suggested design approach can draw multiple benefits including employee satisfaction, workplace safety and well-being, high productivity and quality and retention of a skilled workforce for a longer time. All these benefits ultimately support the attainment of long term organizational sustainability

Multi-process modelling approach to complex organisation design

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Appendices E, F & H - Multi-process modelling approach to complex organisation design

Zipped folder contains:Appendix E - Cross Huller Domain (Feasible Resource Models)Appendix F - Cross Huller Domain (Progress Monitoring Models)Appendix H - Pan American University (E-MPM Application)Abstract:Present day markets require manufacturing enterprises (MEs) to be designed and run in a flexibly structured yet optimised way. However, contemporary approaches to ME engineering do not enable this requirement to capture ME attributes such that suitable processes, resource systems and support services can be readily implemented and changed. This study has developed and prototyped a model-driven environment for the design, optimisation and control of MEs with an embedded capability to handle various types of change. This so called Enriched-Process Modelling (E-MPM) Environment can support the engineering of strategic, tactical and operational processes and comprises two parts: (1) an E-MPM Method that informs, structures, and guides modelling activities required at different stages of ME systems design; and (2) an E-MPM Modelling Framework that specifies interconnections between modelling concepts necessary for the design and run time operation of ME systems. [Continues.]</div

Strategic shame management – triggering the right customer behaviour to meet sustainability goals

Consumers in today's markets enjoy high value, quick deliveries and low prices. However, at which costs are this value realised? This paper challenges the classical view on business performance by enforcing data sharing along supply chains to inform the end customer on the sustainability of their purchase. Our research question is: How can data sharing along supply chains trigger ethical consumer behaviour? We conduct two workshops with industry, policy-makers, and academic participants and capture the system dynamics of their reflection. We show the influence of data sharing to advance ethical purchasing choices and shifts towards sustainability goals.The first author acknowledges the role of funding that helped to support this research: the EPSRC funding, grant reference EP/T024429/1 via 'Elastic Manufacturing systems - a platform for dynamic, resilient and cost-effective manufacturing services' and the ESRC Made Smarter Network+ ('InterAct') Commissioned Research Programme, Early Career Researcher Fellowship number J17293/ES/W007231/1