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The purpose of this study is to develop a novel general mathematical model to find the optimal product mix of commercial graphite products, which has a complex production process with alternative sub-processes in the graphite mining production process.

The network optimization was adopted to model the complex graphite mining production process through the optimal allocation of raw graphite, byproducts, and saleable products with comparable sub-processes, which has different processing capacities and costs. The model was tested on a selected graphite manufacturing company, and the optimal graphite product mix was determined through the selection of the optimal production process. In addition, sensitivity and scenario analyses were carried out to accommodate uncertainties and to facilitate further managerial decisions.

The selected graphite mining company mines approximately 400 metric tons of raw graphite per month to produce ten types of graphite products. According to the optimum solution obtained, the company should produce only six graphite products to maximize its total profit. In addition, the study demonstrated how to reveal optimum managerial decisions based on optimum solutions.

This study has made a significant contribution to the graphite manufacturing industry by modeling the complex graphite mining production process with a network optimization technique that has yet to be addressed at this level of detail. The sensitivity and scenario analyses support for further managerial decisions.

Despite advancements in construction digitalisation and alternative building technologies, cost overrun is still a challenge in the construction industry. The inflation rate is increasing, especially in developing countries, and is critical in cost overrun matters. It can deviate construction built-up rate components. This may thwart improving construction-related Sustainable Development Goals (SDGs). Studies concerning the impact of the inflation rate on construction-related SDGs are scarce in developing countries, including Nigeria. The study investigated the impact of inflation on Nigeria’s construction projects and their outcome on SDGs and suggested possible ways to improve achievement of construction-related SDGs and their targets.

The researchers employed a qualitative research design. This is because of the study’s unexplored dimension. The researchers engaged 35 participants across major cities in Nigeria via semi-structured virtual and face-to-face interviews. The research utilised a thematic method for collated data and accomplished saturation.

Findings reveal that the impact of inflation on construction projects, if not checked, could hinder achieving construction-related SDGs in Nigeria. This is because of the past three years of hyperinflation that cut across major construction components. It shows that the upward inflation rate threatens achieving construction-related SDGs and proffered measures to mitigate inflation and, by extension, enhance achieving construction-related SDGs. This includes a downward review of the Monetary Policy Rate, control of exchange rate volatility and addressing insecurity to restore FDIs and FPIs confidence.

Besides suggesting possible solutions to mitigate hyperinflation on construction components to improve achieving construction-related SDGs, findings will stipulate government policymakers put measures in place through favourable fiscal and monetary policy implementation and encourage moving from a consumption to a production nation.

This paper delves into a pivotal juncture within the co-production literature, intersecting with the ongoing debate about performance challenges in public sector accounting scholarship. It explores how public managers conceive and measure the performance of co-produced public services.

A case study is conducted on three instances of neighbourhood watching – that is, a type of collective co-production – in a homogeneous institutional setting. The analysis and interpretation of empirical data are guided by a systematic conceptual space delineating the qualities that performance criteria can take in contexts where public services are produced.

Findings reveal that when the co-production activation is driven by both state and lay actors, public managers tend to conceptualise and measure its performance in a way that contributes to building a more structured co-productive space, where the roles to play, how to interact and what to achieve are clearly defined.

This paper breaks new ground by scrutinising the conceptualisation of performance in settings where public services involve actors beyond traditional public administrations. By exploring the diverse “shapes” and meanings that performance can take in co-production arrangements, this paper enriches discussions on how public sector accounting can inform co-production literature.

Despite the abundance of small-scale farms in the USA and their importance for both rural economic development and food availability, the extensive research on small business management and entrepreneurship has mostly neglected the agricultural context, leaving many of these farms' business challenges unexplored. The authors focus on informing a specific decision faced by small farm managers: selling directly to consumers (i.e. farmer's markets) versus selling through aggregators. By collecting historical data and a series of interviews with industry experts, the authors employ simulation methodology to offer a framework that advises how small-scale farmers can allocate their product across these two channels to increase revenue in a given season. The results, which are relevant for operations management, small business management and entrepreneurship literature, can help small-scale farmers improve their performance and compete against their larger counterparts.

The authors rely on historical and interview data from key industry players (an aggregator and a small farm manager) to design a simulation analysis that determines which factors influence season-long farm revenue performance under varying strategies of channel allocation and commodity production.

The model suggests that farm managers should plan to evenly split their production between the two distribution channels, but if an even split is not possible, they should plan to keep a larger percentage in the nonaggregator (farmers' market/direct) channel. Further, the authors find that farmers can benefit significantly from a strong aggregator channel customer base, which suggests that farmers should promote and advertise the aggregator channel even if they only use it for a limited amount of their product.

The authors integrate small business management and operations management literature to study a widely understudied context and present practical implications for the performance of small-scale farms.

This study analyzed the state of broiler production in Senegal after nearly two decades of poultry import restrictions. It provides a synopsis of the Senegalese broiler value chain and evaluates the performance and economics of different broiler farm types.

A multi-stakeholder workshop and interviews were conducted with key informants to investigate the structure and activities of the Senegalese broiler value chain. The typical farm approach (TFA) was used to construct and analyze “typical” farms that represent the most common broiler production systems in Senegal.

The current situation in the Senegalese broiler value chain is favorable for hatcheries, feed mills, producers and poultry traders. However, the slaughterhouses are not faring well. The farm economic analysis demonstrates that typical medium-scale broiler farms are performing well, due to the use of high-quality feed, chicks and good husbandry. Additionally, the analysis revealed that feed and day-old chick (DOC) costs are the most significant in conventional broiler production in Senegal. Despite the high costs of feed and DOCs, broiler production is profitable for typical farms.

Athough this study provides detailed insights into broiler farm economics in Senegal, it does not include typical integrated large-scale broiler farm-types. Based on our findings, we can predict that such farm types may be more efficient and have lower production costs due to the use of high-quality inputs (chicks and feed), and economies of scale. However, future studies will need to verify this prediction.

To the best of the authors’ knowledge, only a few unpublished studies on broiler farm economics in Senegal exist. These studies only provide a basic analysis of the cost of production and profitability, with little consideration of various production systems. Contrastingly, this study provides a detailed economic analysis of different types of conventional broiler farms in key production regions.

Throughout human history, the occurrence of disasters has been inevitable, leading to significant human, financial and emotional consequences. Therefore, it is crucial to establish a well-designed plan to efficiently manage such situations when disaster strikes. The purpose of this study is to develop a comprehensive program that encompasses multiple aspects of postdisaster relief.

A multiobjective model has been developed for postdisaster relief, with the aim of minimizing social dissatisfaction, economic costs and environmental damage. The model has been solved using exact methods for different scenarios. The objective is to achieve the most optimal outcomes in the context of postdisaster relief operations.

A real case study of an earthquake in Haiti has been conducted. The acquired results and subsequent management analysis have effectively assessed the logic of the model. As a result, the model’s performance has been validated and deemed reliable based on the findings and insights obtained.

Ultimately, the model provides the optimal quantities of each product to be shipped and determines the appropriate mode of transportation. Additionally, the application of the epsilon constraint method results in a set of Pareto optimal solutions. Through a comprehensive examination of the presented solutions, valuable insights and analyses can be obtained, contributing to a better understanding of the model’s effectiveness.

The paucity of artisans in some construction trades and the transitioning of the experience of the few for sustainability calls for concern. Mentorship programmes offer a promising mechanism to support construction artisans through those transitions. Mentorship may enhance artisan decent work and economic growth, like increased income for artisans. This is part of Sustainable Development Goal 8 (Goal 8). Hence, this study aims to investigate issues hindering construction artisan skills growth and suggest measures to improve construction artisan skills through mentorship mechanisms to achieve Goal 8.

The study adopted a qualitative approach and collected data via oral interviews with knowledgeable participants. The participants were consultant experts in mentorship and Sustainable Development Goals (SDGs) matters, construction organisation management staffers and construction artisans in the Nigerian construction industry. The study covered Lagos and Abuja and achieved saturation at the 30th interviewee. Also, the research utilised a thematic method to analyse the collated data.

Enhanced knowledge sharing accelerates junior artisans’ learning skills quickly, improving artisans’ performance, ensuring sustainability of the skills learned (knowledge retention), encouraging collaboration, building the next generation of leaders and transitioning of experience to mentees emerged as mentorship’s role in developing construction artisans’ skills. Findings show that mentorship mechanisms to develop construction artisan skills face encumbrances. The perceived 32 encumbrances were re-clustered into mentee, mentor and government-related encumbrances. Also, achieving Goal 8 regarding construction artisans may be threatened if these issues are not checked. Thus, the study recommended measures improving construction artisan skills through mentorship mechanisms to achieve Goal 8.

Identifying the major encumbrances facing construction artisan skills improvement through mentorship would be useful to advocate measures to improve construction artisan’s skills to achieve Goal 8.

This paper aims to identify and empirically analyze useful and applicable metrics for measuring and managing the sustainability performance of small and medium-sized enterprises (SMEs).

To achieve the objective of the paper, potential metrics were adopted from previous research related to industrial sustainability and an empirical analysis was carried to assess the applicability of the metrics by collecting empirical data from Italian footwear SMEs using a structured questionnaire. The SMEs were selected using a convenience sampling method.

The results of the within-case analysis and the cross-case analysis indicate that the majority of the metrics were found to be useful and applicable to each of the SMEs and across the SMEs, respectively. These metrics emphasized measuring industrial sustainability performance related to financial benefits, costs and market competitiveness for the economic sustainability dimension; resources for the environmental sustainability dimension; and customers, employees and the community for the social sustainability dimension.

Apart from the within-case analysis and cross-case analysis, it was not possible to conduct statistical analysis since a small number of SMEs were accessible to collect empirical data.

The findings of the paper have considerable academic, managerial and policy implications and will provide a theoretical basis for future research on measuring and managing industrial sustainability performance. By providing a set of empirically supported metrics based on the triple bottom line approach (i.e. economic, environmental and social metrics), this paper contributes to the existing knowledge in the field of industrial sustainability performance measurement.

This current review examines the scientific literature report on non-timber forest products (NTFPs) commercialisation and forest conservation in different jurisdictions.

A systematic review using Scopus-indexed articles on NTFP commercialisation and forest conservation was done using the PRISMA framework.

The review categorised the factors influencing the commercialisation of NTFPs and forest conservation into five broad factors and sub-factors: socioeconomic, market-based, ecosystem, cultural and institutional factors. The scholarly publications on NTFP commercialisation and forest conservation have been undulating, with two years recording no publication on the subject matter under review. Besides, China and India in Asia are leading in the number of publications on NTFPs’ commercialisation. The review revealed ambivalence and symbiotic relationship among the factors influencing the commercialisation of NTFPs and forest conservation. Specifically, tenure arrangement, strict regulations to forest entry, market information asymmetry, bureaucracy in certification acquisition, seasonality and distance were identified as barriers to NTFPs’ commercialisation. While market demands for NTFPs increased, NTFPs’ prices and unsustainable harvesting activities were threats to forest conservation. Policymakers should focus on safeguarding customary property rights and indigenous knowledge in forest conservation, designing workable capacity-building schemes for NTFP entrepreneurs and reducing the cost and processes in certification acquisition.

There are reviews on NTFPs’ commercialisation and livelihoods, but a synergy between NTFPs’ commercialisation and forest conservation for forest policy direction is yet to be done in the literature. Also, while earlier studies systematically reviewed literature on NTFPs’ commercialisation, they did not relate the studies to forest conservation.

This paper presents a new and well-structured framework that aims to assess the current environmental impact from a Greenhouse Gas (GHG) emissions perspective. This tool includes a new set of Lean Key Performance Indicators (KPIs), which translates the well-known logic of Overall Equipment Effectiveness in the field of GHG emissions, that can progressively detect industrial losses that cause GHG emissions and support decision-making for implementing improvements.

The new metrics are presented with reference to two different perspectives: (1) to highlight the deviation of the current value of emissions from the target; (2) to adopt a diagnostic orientation not only to provide an assessment of current performance but also to search for the main causes of inefficiencies and to direct improvement implementations.

The proposed framework was applied to a major company operating in the plywood production sector. It identified emission-related losses at each stage of the production process, providing an overall performance evaluation of 53.1%. The industrial application shows how the indicators work in practice, and the framework as a whole, to assess GHG emissions related to industrial losses and to proper address improvement actions.

This paper scrutinizes a new set of Lean KPIs to assess the industrial losses causing GHG emissions and identifies some significant drawbacks. Then it proposes a new structure of losses and KPIs that not only quantify efficiency but also allow to identify viable countermeasures.