Search results

Manufacturing companies struggle to manage production disturbances. One step of such management deals with prioritising those disturbances which should undergo root cause analysis. The focus of this work is on two areas. First, investigating current challenges faced by manufacturing companies when prioritising root cause analysis of production disturbances. Second, identifying the stakeholders and factors impacted by production disturbances. Understanding the current challenges and identifying impacted stakeholders and factors allows the development of more efficient prioritisation strategies and, thus, contributes to the reduction of frequency and impact of disturbances.

To achieve the intended purpose of this research, a qualitative approach was chosen. A series of interviews was conducted with practitioners, to identify current challenges. A series of focus groups was also held, to identify the impacted stakeholders and factors by disturbances.

Various challenges were identified. These are faced by manufacturing companies in their prioritisation of production disturbances and relate to the time needed, criteria used, centralisation of the process, perspective considered and data support. It was also found that a wide range of stakeholders is impacted by production disturbances, surpassing the limits of production and maintenance departments. Furthermore, the most critical factors impacted are quality, work environment, safety, time, company results, customer satisfaction, productivity, deliverability, resource utilisation, profit, process flow, plannability, machine health and reputation.

The current situation regarding root cause analysis prioritisation has not been identified in previous works. Moreover, there has been no prior systematic identification of the various stakeholders and factors impacted by production disturbances.

Resistance is expected to emerge with the implementation and use of new technologies in production systems. This work focuses on identifying sources of resistance to the use of Industry 4.0 technologies when managing production disturbances and suitable managerial approaches to deal with them.

A qualitative approach was chosen in this research. The authors conducted a literature review and a series of interviews. Thirty-one papers from the literature review were analysed, and 16 people from five different companies were interviewed.

The authors identified five different sources of resistance and three managerial approaches to dealing with them. The sources of resistance were based on (1) feelings of over-supervision, (2) unclear values, (3) feelings of inadequacy, (4) concerns about loss of power and jobs and (5) work overload. The three approaches to dealing with resistance are (1) communication, (2) participation and (3) training.

This work identifies the sources and strategies to deal with resistance to the use of Industry 4.0 technologies in the management of production disturbances. The managerial literature in this area is limited, and to the authors's knowledge, the specific sources for resistance and strategies to deal with that in this topic have not been systematically investigated before.

The purpose of this paper is twofold: first, to develop a typology of co‐located supplier clusters, such as logistics centres or supplier parks, and second, to evaluate the theoretical perspectives at hand to investigate the co‐location phenomenon.

The research encompasses 28 semi‐structured interviews with key operations executives from vehicle manufacturers, component suppliers and logistics service providers at nine co‐located supplier clusters, the findings of which are triangulated with secondary sources.

The investigation yields two main findings: first, a typology is proposed based on two key dimensions “spatial integration and infrastructure” and “local value‐added”. From a theoretical perspective, the paper further concludes that transaction cost economics is less suited for studying dedicated co‐location, and suggests that future investigations should focus on consolidating the contributions on the spatial dimension of sourcing configurations into a novel theoretical framework.

The study is based on an exploratory research design, investigating a selected number of co‐located supplier clusters only. While the research does not claim to provide a comprehensive survey of co‐located supplier clusters, it proposes a general categorisation that aims to provide a structure currently lacking further research into this phenomenon.

A structured overview of the phenomenon of co‐located supplier clusters is provided, extending the existing morphological debate. Furthermore, the discussion of their theoretical foundations provides novel insights into this phenomenon as well as into the operational implications of value chain modifications in general, with the intention of guiding further research in this area.

In recent decades the automotive industry has established a variety of new forms of logistics integration between automobile assemblers and their suppliers, in particular those in the first tier. The purpose of this paper is to outline which form of logistics integration original equipment manufacturer (OEM) assembly plants use to link up with proximate suppliers, and to classify and compare different types of logistics supplier integration.

The data and insights for this paper come from a literature review of research and practitioner papers and studies to survey logistics integration models in theory and practice. In addition, data are collected through semi‐structured interviews and site visits.

The main findings are summarised in five conditions which characterise logistics supplier integration in the automotive industry. These conditions vary significantly between local dedicated supply as discussed in this paper and the traditional supply, which is distant and scattered around suppliers. These main conditions are “geographical proximity”, “delivery contents, volume and sequence”, “shared investment and asset specificity”, “information sharing and information technology system integration” as well as “transport system”. Although all of the five conditions were considered relevant for the description of existing integration forms, only the “geographical proximity” dimension is emerged as most suited for a formal typology. Therefore, a seven‐step integration model was developed which allows for a categorisation and comparison of existing logistics integration forms of proximate supply.

This research aims to support the academic study of cross‐company and inter‐organisational supplier integration by providing consistent criteria for cross‐site comparisons. A holistic and consistent understanding of different logistics integration types will be necessary, which will help in evaluating the actual integration forms such as supplier parks.

The majority of studies into the supplier integration phenomenon conclude that logistical concerns are the driving factor behind supplier co‐location. Therefore, the focus of this research is on the spectrum of vertical integration in logistics between the vehicle manufacturers and their suppliers.

The research purpose is to analyse when and how innovation support programmes (ISPs) can affect collaboration between universities and established small and medium sized enterprises (SMEs). The paper specifically considers SME’s absorptive capacity.

A Swedish research centre is studied in the context of innovation support and two of its SME-ISPs are examined with regards to industry–university collaboration and impact on firm innovation capabilities. Data collection and analysis are performed, using interviews, survey answers, document search and reflectional analysis to evaluate processes and effects of the centre and the programmes.

A developed research centre, integrated into both academia and industry, can support translational collaboration and promote SME innovation absorptive capacity. The action learning elements and the organisational development approaches used when coaching in the ISPs contribute to the SMEs internal absorption capacity and collaborational skills. Organising collaboration into ISPs can provide a relational path to future collaboration with universities, which, for example start with student projects.

The study, though limited to one Swedish region, adds to empirical innovation research as it connects industry–university collaboration and absorptive capacity to organisational learning.

The empirical results indicate possible long-term gains for industry and universities in building collaborative innovation into SME-ISPs.

The contribution of this study pertains to the practice of innovation support for established SMEs with the inclusion of absorption capacity and collaborative innovation development.

Lean Thinking is an operation management discipline which aims to identify, map and analyse the activities forming a process to detect “value waste” and outline the most effective flow of activities to execute in sequence. Process mapping is often developed in lean projects through the use of the Value Stream Map (VSM). Like many other management tools, the VSM adopts a static and non-systemic perspective in the representation of an organizational process. This may result in the implementation of Lean projects inconsistent with the overall organizational long-term strategy, thus leading to dysfunctional performance. In order to overcome this limit, the paper suggests combining VSM with System Dynamics (SD) modelling.

The paper is based on a review of the literature on VSM. This review is matched with an analysis of SD modelling principles aimed at explaining the practical and theoretical contribution of this approach to operation and strategic management practices. An illustrative case study is then provided to explore the practical implications of the proposed approach.

Our results show that SD modelling provides robust methodological support to VSM and Lean Thinking due to its inner characteristics, namely: simulation, systemic view, explicit link between system structure and behaviour and effective visual representation.

This research proposes a novel approach to design VSMs aimed at fostering a strategic perspective in Lean Thinking applications. Such an approach connects two fields of research and practice – i.e. VSM and SD modelling – which have traditionally been kept separated or, at least, partially combined for specific organizational sub-systems, thereby neglecting a broader strategic view of the entire process system.

A common understanding of what events to regard as production disturbances (PD) are essential for effective handling of PDs. Therefore, the purpose of this paper is to answer the two questions: how are individuals with production or maintenance management positions in industry classifying different PD factors? Which factors are being measured and registered as PDs in the companies monitoring systems?

A longitudinal approach using a repeated cross-sectional survey design was adopted. Empirical data were collected from 80 companies in 2001 using a paper-based questionnaire, and from 71 companies in 2014 using a web-based questionnaire.

A diverging view of 21 proposed PD factors is found between respondents in manufacturing industry, and there is also a lack of correspondence with existing literature. In particular, planned events are not classified and registered to the same extent as downtime losses. Moreover, the respondents are often prone to classify factors as PDs compared to what is actually registered. This diverging view has been consistent for over a decade, and hinders companies to develop systematic and effective strategies for handling of PDs.

There has been no in-depth investigation, especially not from a longitudinal perspective, of the personal interpretation of PDs from people who play a central role in achieving high reliability of production systems.

The purpose of this paper is to investigate the integration of discrete event simulation (DES) and value stream mapping (VSM) to enhance the productivity of road surfacing operations by achieving high production rates and minimum road closure times. Highway infrastructure is one of the most valuable assets owned by the public sector. The success of national and local economies as well as quality of life of the general public depend on the efficient operations of highways. Ensuring smooth traffic operations requires maintenance and improvements of the highest standard.

Research approach involved the use of primary data collected from direct observation, interviews, review of archival records and productivity databases. Based on this, process maps and value stream maps were developed which were subsequently used to produce discrete event simulation models for the exploration of different optimisation scenarios.

This research highlights the synergistic relationship between VSM and DES in driving innovation in construction processes. Identified factors that affect roadworks process productivity include machine, manpower, material, information, environment and method-related factors. A DES model is presented to optimise the process and increase the production rates. A hybrid DES-VSM approach ensures an integrated approach to process optimisation.

This study is an application of hybrid version of previously published DES-VSM framework in the manufacturing sector. The present study has extended and tested its applicability within road surfacing operations. The different what-if scenarios presented in this paper might not be applicable to other parts of the world owing to various constraints. The study has focused on addressing the waste production inherent in pavement laying process. Even though external variables could possibly influence pavement process, those were ignored to allow for in-depth focus on the process under consideration.

Road users are one of the most important stakeholders that will benefit from the positive implications of this study. Private resurfacing companies and transport departments can optimise their overall process and style of working by comparing their end-to-end process and work plans with the ones mentioned in this paper. It will boost the productivity of equipment like planners, pavers and other machines used for resurfacing operations.

Existing approaches to process modelling such as VSM and process diagrams are constrained by their effectiveness in the analysis of dynamic and complex processes. This study presents a DES-based approach to validate targeted improvements of the current state of road surfacing processes and in exploration of different optimisation scenarios.

Argues that the motivation involved in partner selection must be distinguished from the motivation to enter into a joint venture; the latter may be considered the “ends” dimension of motivation while the former is concerned with “means”. Thus it is important to distinguish between “task related” factors and “partner related” factors in analyzing the partner selection process. Based on a survey of 42 international joint ventures in Bahrain, respondents rank partner related factors as significantly more important than task factors in selecting a partner. The existence of partner related factors as a separate construct is also confirmed by factor analysis. Further, shows that respondents’ factor scores on four factors are significantly related to the corporate history and characteristics of the corporate partner, and to the personal characteristics of the Chief Executive Officer.

This paper aims to examine how organizational practices such as climate for conflict management (CCM) and high involvement work practices (HIWPs) reduce the negative consequences of workplace bullying (WPB) on work-related depression (WRD).

Data were collected from 468 full-time employees working in the financial sector in Türkiye by applying a student-recruited sampling strategy. The aforesaid relationships were assessed using SPSS AMOS 29.

The results indicated that WPB leads to WRD; however, this effect is alleviated by employee perceptions of strong CCM and the administration of HIWPs in workplace settings.

Collecting data from a single source poses the risks of self-report data bias; however, in the future, data may be collected from multiple sources to lessen this potential threat. The study was a cross-sectional study, which makes it hard to make casual inferences; longitudinal data would be more beneficial to establish casual associations.

Business owners and managers can draw from the study results to create a work environment perceived by employees to be fair when dealing with conflicts and the negative vices of bullying in workplaces. Also, organizations may administer practices that empower employees’ confidence and competence to deal with negative persecution in organizations.

Few studies, if any, have focused on examining the moderating effect of CCM and HIWPs in the association between WPB and WRD. Drawing upon conservation of resources theory, the study stands out as it tests the moderating effect of CCM and HIWPs in the connection between WPB and WRD. The findings contribute to the few available studies tackling organizational factors relevant to alleviating the negative consequences of WPB in organizations.