A modular hybrid simulation framework for complex manufacturing system design

For complex manufacturing systems, the current hybrid Agent-Based Modelling and Discrete Event Simulation (ABM–DES) frameworks are limited to component and system levels of representation and present a degree of static complexity to study optimal resource planning. To address these limitations, a modular hybrid simulation framework for complex manufacturing system design is presented. A manufacturing system with highly regulated and manual handling processes, composed of multiple repeating modules, is considered. In this framework, the concept of modular hybrid ABM–DES technique is introduced to demonstrate a novel simulation method using a dynamic system of parallel multi-agent discrete events. In this context, to create a modular model, the stochastic finite dynamical system is extended to allow the description of discrete event states inside the agent for manufacturing repeating modules (meso level). Moreover, dynamic complexity regarding uncertain processing time and resources is considered. This framework guides the user step-by-step through the system design and modular hybrid model. A real case study in the cell and gene therapy industry is conducted to test the validity of the framework. The simulation results are compared against the data from the studied case; excellent agreement with 1.038% error margin is found in terms of the company performance. The optimal resource planning and the uncertainty of the processing time for manufacturing phases (exo level), in the presence of dynamic complexity is calculated

An evolutionary complex systems decision-support tool for the management of operations

Purpose - The purpose of this is to add both to the development of complex systems thinking in the subject area of operations and production management and to the limited number of applications of computational models and simulations from the science of complex systems. The latter potentially offer helpful decision-support tools for operations and production managers. Design/methodology/approach - A mechanical engineering firm was used as a case study where a combined qualitative and quantitative methodological approach was employed to extract the required data from four senior managers. Company performance measures as well as firm technologies, practices and policies, and their relation and interaction with one another, were elicited. The data were subjected to an evolutionary complex systems (ECS) model resulting in a series of simulations. Findings - The findings highlighted the effects of the diversity in management decision making on the firm's evolutionary trajectory. The CEO appeared to have the most balanced view of the firm, closely followed by the marketing and research and development managers. The manufacturing manager's responses led to the most extreme evolutionary trajectory where the integrity of the entire firm came into question particularly when considering how employees were utilised. Research limitations/implications - By drawing directly from the opinions and views of managers, rather than from logical "if-then" rules and averaged mathematical representations of agents that characterise agent-based and other self-organisational models, this work builds on previous applications by capturing a micro-level description of diversity that has been problematical both in theory and application. Practical implications - This approach can be used as a decision-support tool for operations and other managers providing a forum with which to explore: the strengths, weaknesses and consequences of different decision-making capacities within the firm; the introduction of new manufacturing technologies, practices and policies; and the different evolutionary trajectories that a firm can take. Originality/value - With the inclusion of "micro-diversity", ECS modelling moves beyond the self-organisational models that populate the literature but has not as yet produced a great many practical simulation results. This work is a step in that direction

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)

Improving Design of Micro-business Systems via VSM and Constituent Orientation Analysis

This paper describes recent design research into prototypical ‘classes’ of designs for operational business systems for micro-businesses of 1-10 employees typical of traditional craft and contemporary information economies. Business process design is an increasingly important and relatively new sub-field of design and design research. Its increasing importance is driven by three factors made more potent by information technology: increasing ability for very small business units to contribute to local and national economies; potential for increased efficiency of micro-businesses via reduction in Coasian transaction costs; increasingly competitive business environments leading to pressure on micro-businesses to deeply cut costs; and increased potential for improved design of micro-business processes to create significant benefits for the micro-businesses themselves and to local and national economies. The analyses used in this paper combine Tellefsen's perspective on constituent orientation with Beerian Viable System analysis and Cashflow Quadrant analysis (Beer, 1972, 1988, 1989, 1995; Kiyosaki & Lechter, 2007; Tellefsen, 1995, 1999, 2001; Tellefsen & Love, 2003). These analyses are used to identify promising foci of design effort particularly with the intention of automating and systematizing business activities. The paper first describes the importance of developing improved guidelines for design of organisational structures and business processes in the micro-business arena. It then outlines the structural, humanistic, financial, business management and computerized automation considerations that need to be addressed. Design issues are illustrated via mini case studies of three characteristic micro-businesses in the areas of publishing, plumbing, and rental investment. The paper shows how improvements to the design of business processes can be viewed through how four constituent orientations: • Self employed • Business managers • Business owners • Investors The paper concludes by integrating the outcomes of the above analyses into a preliminary checklist for the design of effective and efficient automated and systematized business processes for micro-businesses and small business enterprises. Keywords: Business Process Design, Micro-Business, Viable Systems, Constituent Orientation, Cashflow Quadrant Analysis.</p

From 3D Models to 3D Prints: an Overview of the Processing Pipeline

Due to the wide diffusion of 3D printing technologies, geometric algorithms for Additive Manufacturing are being invented at an impressive speed. Each single step, in particular along the Process Planning pipeline, can now count on dozens of methods that prepare the 3D model for fabrication, while analysing and optimizing geometry and machine instructions for various objectives. This report provides a classification of this huge state of the art, and elicits the relation between each single algorithm and a list of desirable objectives during Process Planning. The objectives themselves are listed and discussed, along with possible needs for tradeoffs. Additive Manufacturing technologies are broadly categorized to explicitly relate classes of devices and supported features. Finally, this report offers an analysis of the state of the art while discussing open and challenging problems from both an academic and an industrial perspective.Comment: European Union (EU); Horizon 2020; H2020-FoF-2015; RIA - Research and Innovation action; Grant agreement N. 68044

Management innovation made in China: Haier’s Rendanheyi

This article shows how emerging market companies like China’s Haier Group create management innovations that are appropriate for an environment characterized by increased volatility, uncertainty, complexity, and ambiguity (VUCA). Dealing with VUCA effectively requires practices favoring nimble and decentralized responses; the Haier Group developed a platform of management practices under the label Rendanheyi (in Chinese: 人单合一) to transform itself from a conventional hierarchical manufacturing firm into a highly responsive online-based entrepreneurial company with “zero distance to the customer”. We demonstrate how the organizational, competitive, institutional, and technological contexts mattered for the development of Rendanheyi. Our study contributes several insights for practitioners and academics. First, we showcase how context dependent management innovations are created to allow emerging market firms like Haier to deal with a high VUCA world. Second, we draw lessons from Haier’s experimentation process for other firms. Finally, we create an extended process model of management innovation that managers, in both emerging and developed countries, can readily apply

From cultural quarters to creative clusters – creative spaces in the new city economy

Copyright @ 2009 Institute of Urban HistoryInstitute of Urban History, Stockhol