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The purpose of this paper is to review the present municipal solid wastes (MSWs) management system, from an engineering management (EM) perspective, for the City of Kitwe while proposing a levers-driven sustainable municipal solid waste management (MSWM) model focussing on improving waste management (WM).

The research work involves four stages. First, a comprehensive review of literature is conducted on MSWM. Second, structured interviews are conducted with key experts in solid waste management in the City of Kitwe in order to enhance the knowledge inputs. Third, direct observations and an interview with a WM driver are conducted in order to understand; the collection, disposal and treatment options for MSWs. Lastly, a sustainable model for managing MSWs is proposed

The research findings indicate that the existing MSW system for the city is highly unsustainable and lacks EM methodologies. There are still a number of challenges in the management of MSWs which include: lack of proper collection and storage of MSWs; lack of an engineered landfill; lack of waste recovery and treatment systems; and lack of public education aimed at reducing and separating MSWs.

A correct and detailed database for waste generation, collection, treatment and disposal is needed for the City of Kitwe. The system is necessary for WM resources allocation as well as for planning sustainable WM projects. The proposed model has been developed based on the actual observations, data collection and analysis.

The research identifies a gap in the management of MSWs for the City of Kitwe. This work is original as no similar MSW model has been proposed globally and specific for a developing economy such as Africa.

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

The alignment of procurement strategy with overall business strategy is important for superior firm performance. It is also essential for firms’ purchasing structure to fit the purchasing strategy whether it is cost reduction; value analysis and/or improving delivery and increasing flexibility for achieving superior purchasing performance. The purpose of this paper is to scientifically examine the influence of organization culture (OC), green supplier development (GSD), supplier relationship management, flexibility and innovation on sustainability in supply network (SSN) under the moderation effect of institutional pressures and resources availability.

The study is grounded by integrating institutional theory (IT) and resource-based view (RBV) theory. The study empirically tests the conceptual model through survey data gathered from 175 respondents in the KwaZulu-Natal province of Southern Africa using structural equation modeling which is a multivariate data analysis technique that permits to simultaneously examine many relationships among manifest and latent variables.

It was found that OC plays a crucial role in shaping the workforce behavior and responsible for enhancing GSDs and building good relationship with suppliers which ultimately results into increased flexibility and innovativeness. Coercive pressures (CPs) play a moderating role between the causal relationship of innovation and SSN. Therefore, CPs have got the ability to amplify or reverse the effect between innovation and SSNs.

The study suffers from few limitations. First, the study is restricted to one particular province in South Africa. Second, cross-sectional data were used for testing of model in the research study.

The findings are of great importance for both the researchers and supply chain practitioners. Supply chain practitioners may use this knowledge for benchmarking the supply network configuration process and continuously improve the process. The tested model actually shows the mechanism for enhancing SSNs. In today’s dynamic and uncertain business environment, all firms in the supply network aims to minimize risks and maximize profitability. The findings show that CPs play a moderating effect on the relationship between innovation and SSN. Whenever government authorities and institutions pressurize firms for minimizing pollution levels, we see a trend of increased innovations in the form of new product developments, usage of eco-friendly raw material and application of eco-friendly technology which ultimately minimizes the carbon footprint. Through such initiatives steel and engineering firms conform to the government norms and regulations. However, innovations are possible through collaboration with specialist suppliers and sub-suppliers by adopting a common standard across the supply network. Through this overall process of innovation, the focal firm and sub-suppliers linked in the network will benefit and ultimately achieve a competitive edge. Therefore, firms can experience multiple benefits in terms of lower development costs, lower project cycle completion time, improvement in design for re-manufacturability, low downtime, low supply risks, reduction of greenhouse gas emissions and, ultimately, sustainable development.

The study is unique from dual perspective – both in terms of scope and contribution to supply chain management literature. First, the study integrates flexibility and innovation to study the impact on SSNs. Second, it integrates both IT and RBV theory of firm to test the moderation effect and the findings further opens up window for future research.

Multinational business deliver value via multiple sites with similar operational capacities. The age of the Fourth Industrial Revolution (4IR) delivers significant opportunities for the deployment of digital tools for business optimization. Therefore, this study aims to study the Industry 4.0 implementation for multinationals.

The key objective of this research is multi-site systems integration using a reproducible, modular and standardized “Cyber Physical System (CPS) as-a-Service”.

A best practice reference architecture is adopted to guide the design and delivery of a pioneering CPS multi-site deployment. The CPS deployed is a cloud-based platform adopted to enable all manufacturing areas within a multinational energy and petrochemical company. A methodology is developed to quantify the system environmental and sustainability benefits focusing on reduced carbon dioxide (CO₂) emissions and energy consumption. These results demonstrate the benefits of standardization, replication and digital enablement for multinational businesses.

The research illustrates the ability to design a single system, reproducible for multiple sites. This research also illustrates the beneficial impact of system reuse due to reduced environmental impact from lower CO₂ emissions and energy consumption. The paper assists organizations in deploying complex systems while addressing multinational systems implementation constraints and standardization.

Sustainability is an accepted measure of business performance, with reductions in energy demand a commonly practised sustainability initiative by multinational corporations (MNCs). Traditional energy models have limited scope when applied to the entire MNC as the models exhibit high data and time intensity, high technical proficiency, specificity of application and omission of non-manufacturing activities. The purpose of this paper is to propose a process centric energy model (PCEM), which adopts a novel approach of applying business processes for business energy assessment and optimisation. Business processes are a fundamental requirement of MNCs across all sectors. The defining features of the proposed model are genericity, reproducibility, minimum user input data, reduced modelling time and energy evaluation of non-manufacturing activities. The approach forwards the adoption of Industry 4.0, a subset of which focuses on business process automation or part thereof.

A quantitative approach is applied in development of the PCEM. The methodology is demonstrated by application to the procure to pay and electroplating business processes.

The PCEM quantifies and optimises the business energy demand and associated carbon dioxide emissions of the procure to pay and electroplating business processes, validating the application of business processes. The application demonstrates minimum user inputs as only equipment operational parameters are required and minimum modelling time as business process models and optimisation options are pre-defined requiring only user modification. As MNCs have common business processes across multiple sites, once a business process energy demand is quantified, its inputs are applied as the default in the proceeding sites, only requiring updating. The model has no specialist skills requirement enabling business wide use and eliminating costs associated with training and expert’s services. The business processes applied in the evaluation are developed by the researchers and are not as comprehensive as those in actual MNCs, but is sufficiently detailed to accurately calculate an MNC energy demand. The model databases are not exhaustive of all resources found in MNCs.

This paper provides a new approach to MNC business energy assessment and optimisation. The model can be applied to MNEs across all sectors. The model allows the integration of manufacturing and non-manufacturing activities, as it occurs in practice, providing holistic business energy assessment and optimisation. The model analyses the impacts of the adoption of Industry 4.0 technologies on business energy demand, CO₂ emission and personnel hours.

The purpose of this research is to investigate sustainable strategies for skills development that is specific to the youth of South Africa. International and South African data are statistically analysed and quantified to provide inputs for the systems dynamics (SD)-based predictive skills model. The skills model simulates the impact of barriers and drivers on youth skills development towards identification of focus areas for improvement.

The research adopts a mixed-methods approach. The study begins with an explorative literature study on skills development, with the findings applied in developing (1) South African specific research instruments for small, medium and micro enterprises (SMMEs) and skills programme grant recipients and (2) a conceptual framework of the SD predictive skills model. The responses to the South African specific instruments are analysed via confirmatory factor analysis (CFA), which quantifies the input coefficients to the system dynamics model. To quantify the global inputs for the SD model, an in-depth literature review of the global skills development initiatives is conducted. The SD model output on skills, for the South African inputs, is comparatively evaluated against global inputs.

The paper details the results of the literature analysis, instrument analyses, CFA and SD model. The instrument results rank experience, skills and interactions with experts and work-based learning as most important. South African and global learners identify networking as the primary medium for identifying training and employment opportunities. South African and global learners also identify qualifications and work-based experience as key to finding employment. The quantified results of the SA and global analysis are used as inputs in the SD model to deliver a forecasting tool. The SD model finds that the global data provide for better development of the skills base than the South African inputs. The key focus areas identified for improvement in South Africa include networking, work-based experience and a reduction in administrative requirements.

The research's originality resides in the ability to predict the impact of drivers and barriers on skills development. This research sought to transform qualitative global and South African inputs into a consolidated, predictive systems-based model. The SD model can be adopted as an indicator of drivers and barriers focused towards the optimisation of skills development.

Traction substations are an integral part of the railway infrastructure. In order to ensure that machinery and equipment is available and utilised at full capacity, intelligent maintenance methods should be implemented. The purpose of this paper is to focus on the development of lean maintenance strategies implemented on traction substations and offer the maintenance manager an alternative maintenance method to be utilised during optimisation initiatives.

The rail company under consideration has various improvement options, the maintenance supply chain is a priority. The existing maintenance process of 3 kV_DC traction substations is examined and all operations and activities directly and indirectly associated with maintenance are analysed with lean methodologies. The analysis of maintenance operations and activities reveals that some of these operations and activities are non-value-adding and, therefore, regarded as waste. These activities only prolong the maintenance process without adding value to the process. Alternative operations and activities are suggested and simulated.

The application of lean indicates that the maintenance process could be optimised to deliver on a more efficient process, which would improve the quality of maintenance by ensuring that maintenance is timeously carried out. Through reducing the downtime caused by maintenance, the availability of the system is preserved and the railway lines could be used to capacity.

The research is limited to 3 kV_DC traction substations and the associated maintenance process, as this was the area of opportunity for the company. The track and overhead traction equipment maintenance is not included.

The practical application of this research is in optimisation of the value chain for maintenance, specifically in the rail industry.

This research could be applied by maintenance managers to effectively implement if a run-to-failure (RTF) maintenance philosophy is being utilised. The research offers maintenance techniques within the RTF maintenance scope which reduces the maintenance cycle and equipment downtime.

The evolution of technology from the most recent industrial age to the technology era better known as Industry 4.0 resulted in greater demand for horizontal, vertical and end-to-end digital integration. Prior studies show that Industry 4.0 adoption majorly influences the sustainability aspects in a supply chain network. The purpose of this paper is to identify the Industry 4.0 enablers of supply chain sustainability and further attempt to propose a research framework to bridge the theoretical gaps.

In this research study, the authors have used a systematic literature review methodology in the field of Industry 4.0 and sustainable supply chain management. The list of papers was downloaded from Scopus (www.scopus.com) database. Through strict screening, only journal papers were selected for conducting the review of the literature.

The review brings out some interesting findings which will be helpful for the research community. There have been limited research in the area of managing supply chain network sustainability through Industry 4.0 technologies. The authors found only 10 papers out of a total of 53 papers which emphasize on smart manufacturing, smart production system, smart warehouse management system, smart logistics and sustainability. Most of the previous research studies have ignored the social aspects of supply chain sustainability. Finally, the authors identified 13 key enablers of Industry 4.0 playing an important role in driving supply chain sustainability.

The strategies for Industry 4.0 should be refined and detailed to develop economic and social systems that can act flexibly to sudden changes in the system. Top management must be convinced for prioritizing investment support and creating a system that can facilitate technology convergence. Managers must also act on new models of employment and frame plans to continuously improve the system. In addition, managers must focus on establishing a collaborative platform to facilitate high-tech research and developments. Finally, it is essential to develop a performance management system for monitoring all actions in the supply chain network.

Integrating two independent subjects is the uniqueness of the current study. Here, Industry 4.0 and supply chain sustainability have been integrated to build the research framework, and in such a process, the authors have extended the existing knowledge base.

This paper aims to establish a relationship between supply chain integration (SCI) and supply chain flexibility (SCF) to develop a two-dimensional approach, i.e. integrated flexibility.

Building on a relational view and dynamic capability theory, this paper argues that integrated flexibility is the strategy that enables organisations to achieve different positions and states to create distinctive capability. The article has proposed the conceptual framework that connects different supply chain strategies and practices to improve supply chain performance (SCP) considering the cross-disciplinary approach.

The conceptual framework around the new perspective, i.e. integrated flexibility, is built to deal with issues related to operations management. The paper suggests examining the mediating effect of SCF between SCI and SCP and the moderating role of knowledge management (KM), data analytics (DA) and quality management (QM) practices on their relationship. Moreover, research direction in terms of propositions and implications are developed to showcase how underlying practices streamline the supply chain and lead to superior SCP.

The proposed framework discusses the degree of integration and flexibility levels to guide practitioners in designing a supply chain strategy with their partners and answering how much resources need to be extended to achieve flexible operations and realise SCP.

Authors have developed an entirely new integrated flexibility concept that provides a base to sustain in the competitive market. The foundation of integrated flexibility is built on relational view and dynamic capability theory and supported by DA, QM and KM.