IT in lean-based manufacturing industries: systematic literature review and research issues

This systematic literature review is the first to explore the role of IT in lean manufacturing contexts, characterising literature on the field, identifying and exploring the main issues approached, and identifying potential future lines of research. Grounded on an accurate screening process, 124 papers were selected for analysis from the SCOPUS and the ISI Web of Knowledge databases. The structured content analysis process highlights five key issues approached in literature: (1) software and technologies used, (2) benefits achieved through applying IT in lean manufacturing, (3) importance of IT integration, (4) IT and lean as complementary or independent options and (5) role of human resources. Despite an apparent scepticism concerning compatibility between IT and lean, claiming that IT may lead to processes’ complexity, extra tasks, resource consuming, among other issues, among other key findings, the review shows that several different IT instruments may boost improvements, acting as a facilitator in developing lean industrial environments, especially when lean-based improvement processes are introduced first, and then IT infrastructures. Because both IT and Lean may require significant investments in terms of managerial attention, employees’ capabilities and financial resources, it is important for management to balance investment decisions. Authors point to several shortcomings in literature which represent significant opportunities for further research: (1) significant lack of integrated comprehensive frameworks, (2) lack of knowledge concerning hybrid manufacturing systems, supply chains as research unit of analysis, how organisations can respond to staff resistance, and role of IT across the distinctive stages of lean maturity.     

Reliability allocation methods: A systematic literature review

The choice of a reliability allocation method is not always easy or straightforward, since it depends on several factors. Some factors are directly related to the characteristics of the analyzed system, such as the level of complexity or the reliability configuration; on the other hand, additional aspects constitute boundary conditions, such as budget or experimentation time. In this scenario, the purpose of the present research is to present a systematic literature review on reliability allocation, proposing a guideline to choose the optimal allocation method in respect to the desired application, available resources, and required accuracy. The proposed review analyzes allocation methods in literature, determining main features and area of application. Motivated by a lack of a comprehensive methods summarization present in literature, our research goal is to assist practitioners in choosing a well-suited method and to provide an overview, to support academics in conducting new research in this area. The results of the performed analysis are synthetized according to several criteria. The results are summarized and categorized in different clusters for each individuated application field. The proposed summarization design allows an easy and rapid consultation.     

Systematic literature review on city logistics: overview,classification and analysis

City logistics is one of the significant branches of supply chain management, dealing with the logistics and transportation activities in urban areas. This research area has recently appropriated an exponential growth of publications. This paper presents a bibliometric analysis along with a systematic literature review to organise the results of surveying more than 370 papers and research works published since 2010. We identify the top contributing research topics. The most common keywords used in the city logistics literature are referred to in order to propose six research categories identifying the main innovative research perspectives.     

Reliability-based fault analysis models with industrial applications: A systematic literature review

Effective and early fault detection and diagnosis techniques have tremendously enhanced over the years to ensure continuous operations of contemporary complex systems, control cost, and enhance safety in assets-intensive industries, including oil and gas, process, and power generation. The objective of this work is to understand the development of different fault detection and diagnosis methods, their applications, and benefits to the industry. This paper presents a contemporary state-of-the-art systematic literature survey focusing on a comprehensive review of the models for fault detection and their industrial applications. This study uses advanced tools from bibliometric analysis to systematically analyze over 500 peer-reviewed articles on focus areas published since 2010. We first present an exploratory analysis and identify the influential contributions to the field, authors, and countries, among other key indicators.  A network analysis is presented to unveil and visualize the clusters of the distinguishable areas using a co-citation network analysis. Later, a detailed content analysis of the top-100 most-cited papers is carried out to understand the progression of fault detection and artificial intelligence–based algorithms in different industrial applications. The findings of this paper allow us to comprehend the development of reliability-based fault analysis techniques over time, and the use of smart algorithms and their success. This work helps to make a unique contribution toward revealing the future avenues and setting up a prospective research road map for asset-intensive industry, researchers, and policymakers.     

A systematic literature review of the capabilities and performance metrics of supply chain resilience

ABSTRACT

Research on supply chain resilience (SCRE) capabilities and its performance measurement has been growing in recent years. However, the investigation of these concepts has primarily been conducted independently despite the interdependence of these concepts. A systematic literature review of 153 papers was conducted based on the principles of rigour, transparency and replicability required by the methodology. For the first time, we structurally reviewed the 11 SCRE performance metrics categories and its capabilities in SCRE Capabilities-Performance Metrics Framework (SCPM) developed based on the three resilience dimensions (readiness, response and recovery). The framework enables researchers to seek fundamental knowledge and to pursue further research regarding SCRE assessment. This study also provides practical value offering a guidance for decision-makers considering the trade-off among different capabilities and performance metrics.     

A systematic literature review of remanufacturing scheduling

This paper studies a vendor–buyer integrated inventory system with buyers’ variable demand and warehouse space limitation where the consignment stock (CS) replenishment operates under a controllable lead time. Within any cycle, the production rate, the number of shipments and the shipping size are all fixed. Based upon the CS policy, the vendor agrees to maintain the buyer’s inventory to be above a safety level and less than the buyer’s space limitation. Due to the uncertainty in the demand, shortages/over stocks are sometimes inevitable. In such cases, penalties are incurred to discourage such occurrence. The holding cost consists of a storage component and a financial component, and the lead time is controlled with an extra investment which is a function of both the shipment size and the reduced time. Two-constraint, five-variable mix-integer optimisation models are established to describe the CS system. Two doubly-hybrid meta-heuristic algorithms are employed to solve the models that are complex and difficult to solve with available techniques. Two numerical examples are used to illustrate the solution procedure and the analysis of the computational results reveals the effects of some important parameters used for the annual joint total expected cost of the integrated system. The computational efficiency and quality of the solutions are evaluated by comparing them with other existing and popular methods. The results founds in all comparative evaluation are very encouraging and competitive.     

Assessing relations between Circular Economy and Industry 4.0: a systematic literature review

Industry 4.0 (I4.0) and Circular Economy (CE) are undoubtedly two of the most debated topics of the last decades. Progressively, they gained the interest of policymakers, practitioners and scholars all over the world. Even if they have been usually described as two independent research fields, there are some examples presenting overlaps between these topics, represented by hybrid categories like Circular I4.0 and Digital CE. Starting from these two perspectives, an innovative framework both highlighting the links between I4.0 and CE and unveiling future research fields has been developed. Basing on one of the two perspectives, results show as it is possible to enhance a set of different relations. Depending on a dedicated area of either CE or I4.0 it is possible to see the prevalence of some I4.0 technology than others. However, the influence of I4.0 technologies on CE is always verified.     

Three decades of workload control research: a systematic review of the literature

The workload control (WLC) concept has received much attention in the past three decades; however, a comprehensive literature review has not been presented. In response, this article provides a systematic review of the conceptual, analytical, empirical and simulation-based WLC literature. It explores the evolution of WLC research, determines the current state-of-the-art and identifies key areas for further study. The research finds that the field has evolved substantially. Early research focused on theoretical development and experimental testing of order release strategies; order release was then integrated with other planning stages, e.g., the customer enquiry stage, making the concept more suitable for customised manufacturing and leading to a comprehensive concept which combines input and output control effectively; recent attention has focused on implementing the resulting concept in practice and refining theory. While WLC is well placed to meet the needs of producers of customised products, future research should include: conducting further action research into how WLC can be effectively implemented in practice; studying human factors that affect WLC; and feeding back empirical findings to simulation-based WLC research to improve the applicability of WLC theory to real-life job shops.     

Processes and measurement of knowledge management in supply chains: an integrative systematic literature review

During the last 10 years, important contributions about knowledge management (KM) issues in supply chain management (SCM) have been published. The current paper aims to build upon previous literature reviews focused on KM in supply chains (SCs) from an integrative perspective, particularly recognising the studies conducted by Bhosale and Kant (2016. “Metadata Analysis of Knowledge Management in Supply Chain: Investigating the Past and Predicting the Future.” Business Process Management Journal 22 (1): 140–172) and Cerchione and Esposito (2016. “A Systematic Review of Supply Chain Knowledge Management Research: State of the Art and Research Opportunities.” International Journal of Production Economics 182: 276–292) as an effort to discuss the evolution of KM in the SC field. To this end, a systematic literature review including 210 papers is conducted over the period 2008–2017 from three positions previously not addressed jointly within the supply chain (SC) context: research methods employed by the authors; KM processes applied in the business processes across the SC; and intra and inter- organisational performance metrics linked with KM initiatives. Results exhibited that: (i) ‘Survey’ and ‘Case study’ are the two research methodologies mostly employed by authors (ii) the knowledge transfer is discussed in the majority of the studies reviewed, (iii) 114 intra and inter-organisational performance metrics are reported within the SC context from an empirical data approach. Findings concerning previous identified gap analysis and future lines of research are described.     

The developed hypothetical model for promoting sustainable well-being at work by learning: a systematic literature review

This study is a systematic literature review. The aim is to evaluate the developed hypothetical model. In this model, learning is proposed to be a mediating link between sustainable development (SD) and well-being at work. The aim is also to evaluate the learning characteristics that promote sustainable well-being at work. The systematic review consisted of 16 peer-reviewed scientific articles that were analysed with the qualitative content analysis method. Learning was revealed to be the principal link between SD and well-being at work. The main prerequisites of successful learning processes promoting sustainable well-being at work comprised the commitment of all workers and managers, true leadership and planning and development in collaboration with close stakeholders and customers. External help and guidance also increased the awareness of organisations about sustainable well-being at work. Successful continuous learning seems to be essential for promoting sustainable well-being at work.     

Past,present and future of Industry 4.0 - a systematic literature review and research agenda proposal

Over the last few years, the fourth industrial revolution has attracted more and more attentions all around the world. In the current literature, there is still a lack of efforts to systematically review the state of the art of this new industrial revolution wave. The aim of this study is to address this gap by investigating the academic progresses in Industry 4.0. A systematic literature review was carried out to analyse the academic articles within the Industry 4.0 topic that were published online until the end of June 2016. In this paper, the obtained results from both the general data analysis of included papers (e.g. relevant journals, their subject areas and categories, conferences, keywords) and the specific data analysis corresponding to four research sub-questions are illustrated and discussed. These results not only summarise the current research activities (e.g. main research directions, applied standards, employed software and hardware), but also indicate existing deficiencies and potential research directions through proposing a research agenda. Findings of this review can be used as the basis for future research in Industry 4.0 and related topics.     

Methods for mitigating disruptions in complex supply chain structures: a systematic literature review

Supply chain risk management is extremely important for the success of a company. Due to the increasing complexity of supply chains, avoiding and mitigating the effects of disruptions is very challenging. This article presents the results of a systematic literature review and content analysis in order to provide a comprehensive overview of the methods that are currently used for mitigating supply chain disruptions. The results of the review indicate that research in this field is interdisciplinary and that no common modelling language has emerged thus far. Prior research mostly redraws to graph theory and/or social network analysis, although a few methods have been developed recently specifically for supply chain risk management. We observe that prior contributions addressed risk and structure mostly separately and that only a few works focused on their intersection. The results of this review are consolidated in a research agenda that calls for research on the risk-structure-interface and the development of proxy methods.     

Blockchain applications in supply chains,transport and logistics: a systematic review of the literature

This paper presents current academic and industrial frontiers on blockchain application in supply chain, logistics and transport management. We conduct a systematic review of the literature and find four main clusters in the co-citation analysis, namely Technology, Trust, Trade, and Traceability/Transparency. For each cluster, and based on the pool of articles included in it, we apply an inductive method of reasoning and discuss the emerging themes and applications of blockchains for supply chains, logistics and transport. We conclude by discussing the main themes for future research on blockchain technology and its application in industry and services.     

Performance-based contracting: a literature review and future research directions

This paper aims to provide a review and synthesis of the performance-based contracting (PBC) literature across academic disciplines. It also seeks to examine how the operations and supply management (OSM) discipline in particular relates to PBC studies in other study fields. The research is based on a systematic literature review of 241 peer-reviewed articles across disciplines, published between 1985 and 2014. A classification framework of PBC research is proposed, addressing key aspects of PBC design and management: performance specification and evaluation, the design of incentives and their impact on supplier behaviour and risks allocation depending also on the risk attitudes of buyers and suppliers. The comparative analysis of literature by discipline helps identify current empirical and theoretical limitations of relevant OSM studies. The paper concludes that future OSM research should expand its theoretical framework and empirical focus to better understand PBC design and management. Eight specific suggestions for future OSM research are offered, e.g. examining the potential of PBC as means for managing sustainability and innovation goals of supply chains. The paper helps advance OSM research in this area by providing a structured overview of definitions, theories, conceptual frames, methods and empirical studies from other disciplines.     

The relationship between laboratory-based outcome measures and mortality in end-stage renal disease: A systematic review

Despite data that traditional laboratory-based outcome measures in dialysis are improving over time, population-based data indicate that mortality rates are not improving in parallel. With increased focus on performance measures based on laboratory-based outcomes (e.g., hematocrit, albumin, and parathyroid hormone), less emphasis has been placed on other markers, some of which may be stronger predictors of mortality. We performed a systematic review to interpret the predictive value of laboratory-based outcome measures in dialysis. We identified studies with data regarding the predictive value of laboratory-based outcomes for mortality in dialysis. We calculated the sample size-weighted pooled relative risk of death with dichotomized "high" vs. "low" levels of each measure. We rank-ordered predictors by scaling the pooled relative risk of each measure by its pooled standard deviation. There were 5171 titles, of which 128 (representing 44 laboratory-based outcomes) were selected. Nine were significantly associated with mortality, in order of decreasing scaled effect size: (1) tumor necrosis factor-α, (2) hematocrit, (3) interleukin-6, (4) troponin T, (5) Kt/V_urea, (6) prealbumin, (7) urea reduction ratio, (8) serum albumin, and (9) C-reactive protein. Other oft-cited measures such as calcium phosphate product and parathyroid hormone were not significantly associated with mortality in pooled analysis. Quality improvement efforts to improve traditional laboratory-based outcomes in end-stage renal disease are necessary, but likely insufficient, to improve overall mortality in dialysis. Renewed consideration of cardiovascular, inflammatory, and nutritional markers that are especially strong predictors of mortality may have important implications for risk stratification and targeted therapeutic interventions.     

A systematic review on the effectiveness of thermography in diagnosis of diseases

Collecting and analyzing appropriate information and performing comprehensive systematic studies, considering safety, effectiveness, and cost effectiveness of the technologies are prerequisites for making decisions on buying and using different diagnostic and therapeutic equipment. This study aimed to systematically identify and analyze available evidences related to the effectiveness of contact thermography technique in diagnosis of different diseases. This study was a systematic review of published and gray literature. We searched relevant databases, bibliography of related papers, and companies' websites, using appropriate search strategies and key words. The CASP tool was used by two experts to evaluate the quality of retrieved papers and inconsistencies were resolved by discussion. After removal of duplicate citations, 308 titles were identified through database searching, among which 276 were excluded on reviewing of the titles and abstracts. The full texts of the remaining papers (32) were assessed against the inclusion criteria and 14 papers were recognized qualified, which were categorized into three groups of: breast cancer, DVT, and others. The results showed although contact thermography is a safe, rapid and cheap technique to be used in screening and diagnosing different diseases, but results did not show any acceptable diagnostic value in comparison to other diagnostic techniques. It might be beneficial to use it as a complementary technique. More research is recommended in this area. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 188–193, 2013     

The influence of online professional social media in human resource management: A systematic literature review

Professional social media platforms (PSMs), including LinkedIn, have created better opportunities for students and employees to advance their career aspirations. Though PSMs seem to be an effective human resource management (HRM) tool, in order to leverage PSMs effectively, it is strategically essential to incorporate research inputs from both the employers' and the individuals’ perspectives. Realizing this, academic researchers have been interested in PSMs since the previous decade. However, research on PSMs and their effectiveness continues to be in the embryonic stage. To catalyze scholarly interest and provide a foundation for formulating sound theoretical propositions for the efficient use of PSMs, it is imperative to aggregate and critically evaluate prior findings and provide avenues for future research. Addressing this need, the current study undertakes a systematic literature review to comprehensively understand the influence of PSMs on one particular aspect of HRM—namely, hiring processes. Forty-five studies were selected from existing literature to examine the accumulated knowledge, assess current research boundaries, and derive ways to enrich this area of research further. The study is motivated by the fact that given the short life cycle of social media platforms and information systems, PSMs need to innovate and continuously offer value to their users. The study makes a concrete contribution to PSM literature by generating actionable research avenues for future researchers and providing practical insights for managers and service providers.     

Systematic literature review on smart contracts in the construction industry: Potentials,benefits, and challenges

The development of digital transformation in the construction industry has led to the increasing adoption of smart contracts. As programmable applications to automatically write, verify, and enforce transaction conditions, smart contracts can be used in different areas mainly to improve automation level, information security, and built digital environment enhancement. However, the smart contract is commonly mentioned as a blockchain appendage, while its unique connotation and value in the construction industry have not been recognized. Therefore, this study carries out a systematic review based on 81 research articles published from 2014 to 2021 on smart contract applications in construction to explore and highlight their potentials under domain-specific requirements. Results are analyzed according to research type categorization and domain codification. Eight research domains are identified, where the three most highly explored domains are contract and payment, supply chain and logistics, and information management. The integration of smart contracts with other innovative concepts and advanced technologies is analyzed. The applicability, benefits, and challenges of smart contract applications regarding different research domains are discussed.