Towards an Integration of the Lean Enterprise System, Total Quality Management, Six Sigma and Related Enterprise Process Improvement Methods

The lean enterprise system, total quality management, six sigma, theory of constraints, agile manufacturing, and business process reengineering have been introduced as universally applicable best methods to improve the performance of enterprise operations through continuous process improvement and systemic planned enterprise change. Generally speaking, they represent practice-based, rather than theory-grounded, methods with common roots in manufacturing. Most of the literature on them is descriptive and prescriptive, aimed largely at a practitioner audience. Despite certain differences among them, they potentially complement each other in important ways. The lean enterprise system, total quality management and six sigma, in particular, are tightly interconnected as highly complementary approaches and can be brought together to define a first-approximation “core” integrated management system, with the lean enterprise system serving as the central organizing framework. Specific elements of the other approaches can be selectively incorporated into the “core” enterprise system to enrich its effectiveness. Concrete theoretical and computational developments in the future through an interdisciplinary research agenda centered on the design and development of networked enterprises as complex adaptive socio-technical systems, as well as the creation of a readily accessible observatory of evidence-based management practices, would represent important steps forward

A survey of simulation techniques in commerce and defence

Despite the developments in Modelling and Simulation (M&S) tools and techniques over the past years, there has been a gap in the M&S research and practice in healthcare on developing a toolkit to assist the modellers and simulation practitioners with selecting an appropriate set of techniques. This study is a preliminary step towards this goal. This paper presents some results from a systematic literature survey on applications of M&S in the commerce and defence domains that could inspire some improvements in the healthcare. Interim results show that in the commercial sector Discrete-Event Simulation (DES) has been the most widely used technique with System Dynamics (SD) in second place. However in the defence sector, SD has gained relatively more attention. SD has been found quite useful for qualitative and soft factors analysis. From both the surveys it becomes clear that there is a growing trend towards using hybrid M&S approaches

Special Session on Industry 4.0

No abstract available

15 Years of Enterprise Architecting at HICSS: Revisiting the Critical Problems

The Enterprise Architecture (EA) minitrack has been a mainstay of HICSS for the past 15 years. The methodology, tools, and processes of enterprise architecting have evolved during that period. In 2005, Kaisler and Armour identified some critical challenges in modeling, management, and maintenance for EA that needed attention to ensure a viable technical discipline. Over 15 years, we have accepted 93 papers for presentation. Reviewing these papers and drawing up on our experience over the past 15 years, we conclude that some progress has been made, some challenges remain to be addressed, and some new challenges have emerged. This paper revises existing challenges and identifies additional challenges to be addressed in the next 10 years

Enhanced integrated modelling approach to reconfiguring manufacturing enterprises

Dynamism and uncertainty are real challenges for present day manufacturing enterprises (MEs). Reasons include: an increasing demand for customisation, reduced time to market, shortened product life cycles and globalisation. MEs can reduce competitive pressure by becoming reconfigurable and change-capable. However, modern manufacturing philosophies, including agile and lean, must complement the application of reconfigurable manufacturing paradigms. Choosing and applying the best philosophies and techniques is very difficult as most MEs deploy complex and unique configurations of processes and resource systems, and seek economies of scope and scale in respect of changing and distinctive product flows. It follows that systematic methods of achieving model driven reconfiguration and interoperation of component based manufacturing systems are required to design, engineer and change future MEs. This thesis, titled Enhanced Integrated Modelling Approach to Reconfiguring Manufacturing Enterprises , introduces the development and prototyping a model-driven environment for the design, engineering, optimisation and control of the reconfiguration of MEs with an embedded capability to handle various types of change. The thesis describes a novel systematic approach, namely enhanced integrated modelling approach (EIMA), in which coherent sets of integrated models are created that facilitates the engineering of MEs especially their production planning and control (PPC) systems. The developed environment supports the engineering of common types of strategic, tactical and operational processes found in many MEs. The EIMA is centred on the ISO standardised CIMOSA process modelling approach. Early study led to the development of simulation models during which various CIMOSA shortcomings were observed, especially in its support for aspects of ME dynamism. A need was raised to structure and create semantically enriched models hence forming an enhanced integrated modelling environment. The thesis also presents three industrial case examples: (1) Ford Motor Company; (2) Bradgate Furniture Manufacturing Company; and (3) ACM Bearings Company. In order to understand the system prior to realisation of any PPC strategy, multiple process segments of any target organisation need to be modelled. Coherent multi-perspective case study models are presented that have facilitated process reengineering and associated resource system configuration. Such models have a capability to enable PPC decision making processes in support of the reconfiguration of MEs. During these case studies, capabilities of a number of software tools were exploited such as Arena®, Simul8®, Plant Simulation®, MS Visio®, and MS Excel®. Case study results demonstrated effectiveness of the concepts related to the EIMA. The research has resulted in new contributions to knowledge in terms of new understandings, concepts and methods in following ways: (1) a structured model driven integrated approach to the design, optimisation and control of future reconfiguration of MEs. The EIMA is an enriched and generic process modelling approach with capability to represent both static and dynamic aspects of an ME; and (2) example application cases showing benefits in terms of reduction in lead time, cost and resource load and in terms of improved responsiveness of processes and resource systems with a special focus on PPC; (3) identification and industrial application of a new key performance indicator (KPI) known as P3C the measuring and monitoring of which can aid in enhancing reconfigurability and responsiveness of MEs; and (4) an enriched modelling concept framework (E-MUNE) to capture requirements of static and dynamic aspects of MEs where the conceptual framework has the capability to be extended and modified according to the requirements. The thesis outlines key areas outlining a need for future research into integrated modelling approaches, interoperation and updating mechanisms of partial models in support of the reconfiguration of MEs

DevOps for Digital Leaders

DevOps; continuous delivery; software lifecycle; concurrent parallel testing; service management; ITIL; GRC; PaaS; containerization; API management; lean principles; technical debt; end-to-end automation; automatio

Emergent Changes in Enterprise Architectures: Framework and Case Study

We suggest an emergent change framework for enterprise architecture. Drawing on Leavitt’s Change Model of Organizations, our framework focusses on socio-technical changes in tasks, structures, actors, and technologies. By applying the framework to a medium-sized company from the media industry and drawing on a relatively unique panel data set (2014, 2016, 2018), we demonstrate the amount of emergent changes and confirm three patterns of change. These findings help to advance the study of change and its propagation across different components of an enterprise over time

Knowledge management in extended enterprises

This paper highlights the importance of Knowledge Management (KM) in extended enterprises.Global competitiveness poses flexibility challenges in a time-based competition.One of the strategies adopted in industry is to develop extended enterprises by improving the level of collaboration between various autonomous firms. This coupled with several knowledge changes require a new focus on effective knowledge management.Judicious use of IT to form and support extended enterprises that gain from KM efforts is important.This paper presents the need and scope of Knowledge Management in enterprises facing the global competitive challenges.The emphasis of knowledge management as a process with a synergy between university and industry efforts is also outlined.A visionary approach based on a simulator and AI based architecture is discussed. It is suggested that models that promote IT based integration between objectives, decision and information (ODI) integration will be expedient for the evolving extended enterprises and virtual enterprises domains