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The manufacturing industry in Nigeria often perceives government safety standards as an attempt to increase production cost. This is due to lack of acceptable template for setting an attainable standards and safety programme to the manufacturing industry. It is the goal of this work to develop such a template for an effective and sustainable manufacturing safety programme.

A total of 30 manufacturing firms were examined and five experienced manufacturing, and three safety engineers interviewed for information on types of SP activities. Review and synthesis of literature was carried out.

Four types of accidents are identified as fatal, serious, minor and trivial wounds. Accidents causing factors are classified into human factor, deficient maintenance of facilities and environmental factors. The prevention activities were categorized into training, guarding, awareness, incentive, accident investigation and personal protective equipment (PPE).

This study provides baseline information for academics, industry and safety practioners to setting an attainable and effective manufacturing safety programme.

The paper suggests a mathematical approach for developing a manufacturing safety programme.

The purpose of this paper is to employ a system dynamics approach to develop a mathematical model for managing magnitude and risk factors of injuries in a manufacturing industry. This is to provide the decision makers with a systemic‐strategy to capture the transition of industries, especially manufacturing, into world‐class safe workplaces.

An accident investigation register was administered to capture needed data to estimate the model parameters and identify risk factors of injuries. The principle of system dynamics (SD) was employed to identify the relevant safety‐related components and their interrelationships. Applying the concept of causality analysis, causal loop and SD flow diagrams indicating how prevention activities may eliminate hazardous conditions were delineated and a mathematical model to predict the main variables involved in manufacturing safety programme was formulated.

The validity of the model was demonstrated using the observed data from accident investigation and register review; and a satisfactory agreement was found between the observed data and the model predictions.

The proposed model's attribute of predicting the probability of injuries or preventions is remarkable and thus, useful for managing sustainable safety control programmes.

This paper presents a manufacturing safety programme using equation‐oriented technique to predict the main variables required for managing magnitude and risk factors of injuries in a manufacturing plant.

The manufacturing industry perceives government standards as an attempt to unnecessarily increase production cost. This may be due to lack of acceptable models for demonstrating the associated benefits to industry. It was the goal of this study to develop a simulation model for predicting the performance of a manufacturing safety programme (SP).

The principles of system‐dynamics were applied to identify the relevant safety‐related components and their relationships. A simulation model for evaluating periodic performance of a manufacturing SP was then developed. A set a dynamic equations for predicting factory accidents or preventions and the monetary saving were the performance measures. Two set of factory data: non‐SP (1979) and SP (1991‐2004) were collected from a bottling company. The parameters of the model were estimated using the first set while it was validated with the second and associated monetary saving computed.

Solutions to factory accidents or preventions yielded exponential functions. The means and standard deviations of the predicted and actual accidents were 32 and 5.66; and 30 and 7.46, respectively. The corresponding values for predicted and actual preventions were 55 and 10.47; and 59 and 7.45, respectively. There were no significant differences between the predicted and actual for the accidents and preventions, respectively, at 5 per cent level. The predicted SP saving per annum was 6.96 millions.

The model is a useful tool for setting profitable manufacturing safety standards and effective SP management.

Catastrophic failures in high-reliability installations result from technical and human factors. The purpose of this paper is to use reports of the BP Texas refinery accident and the UK Buncefield oil storage explosions as the basis for exploring how protection and safety are managed in high-reliability manufacturing organisations in South Africa.

A survey of 21 high-reliability firms was undertaken to establish how firms perceived their safety and protection systems in relation to the findings of the Buncefield and BP Texas accidents. Interviews were held with staff in two firms.

The study identifies technical and behavioural shortcomings in managing safety and protective systems in manufacturing organisations. There are profound differences in perceptions of managers, supervisors and operators regarding a number of safety-related factors. Firms fail to identify all protective systems. Essential failure data for determining appropriate policies for failure finding are not collected.

Quantitative results are based on a relatively small sample and qualitative perspectives derive from two case studies.

Managers are unsure how protective devices should be managed. The paper highlights areas where significant improvements are essential if the South African firms are to meet developed world standards.

High-reliability organisations are obliged to minimise the possibility of serious incidents whose consequences may extend far beyond the physical bounds of the organisation.

Limited research has been published on the management of protective systems. This paper highlights a number of technical and behavioural issues that should be addressed for safe operation of high-reliability manufacturing organisations.

The purpose of this paper is to assess the influence of uncertainty on workplace accidents at the plant level. Furthermore, this study explores such relation in complex settings (i.e. manufacturing networks) and assesses whether or not information sharing in such environments can reduce the potentially negative impact of uncertainty on accidents.

To assess the relationships between uncertainty, accidents and information sharing the authors utilise cross-country survey data collected through the sixth iteration of the International Manufacturing Strategy Survey. The authors conceptualise workplace accidents through production time lost due to accidents. Furthermore, the authors conduct multiple regression analyses to test the hypotheses.

Results suggest that procurement, production, and demand uncertainties do indeed lead to an increase in workplace accidents at the plant level. Furthermore, the negative impact of uncertainty can be significantly reduced through information sharing.

This study represents a comprehensive attempt to simultaneously assess the impact of uncertainty on workplace accidents at the plant level and the possible moderating impact of information sharing.

Agriculture remains the largest sector of Nigerian economy, generating employment for about 70 per cent of the population. With the ever‐increasing market demand for agricultural products, mechanisation of most farm operations is gradually on the increase. This new development has brought about an increase in the cases of accidents through the use of farm tractors.

This study was carried out in the south‐western part of Nigeria to investigate the safety measurement, effectiveness, and its contributions to farm tractor usage in the State. The study identified various causes of farm tractor accidents, consequences and different classes of farm tractor‐related accidents. The effectiveness of each accident prevention method and frequency of use were investigated and put into consideration in the data analysis.

It was revealed through the analysis that the use of safety protective wear gave the highest contribution (24.05 per cent) to total accident prevention on farms while the use of orientation training and seminars gave the least contribution (8.30 per cent) with the lowest frequency of use than the other methods.

The results of this study serve as baseline information for tractor manufacturers regarding the inclusion of certain parts in new or proposed tractor designs with particular peculiarity to Nigerian farmers.

This paper gives an estimation of the magnitude of farm tractor accidents in relation to the Nigerian farming situation and proposes remedial actions.

The purpose of this paper is to identify the facilities maintenance employees’ priority on safety management practices and relationship to safety performance. The study aims to increase the safety performance among the facilities maintenance contractor by implementing safety management practices.

The data were collected by distributing questionnaire forms to the employees of selected facilities maintenance contractors representing general workers, technicians and executive- and the management-level employees. Data were analysed using descriptive statistics, t-test, one-way analysis of variance, Pearson correlation and multiple regressions.

The descriptive results revealed that the employee priority on safety management practices is fairly “low”. The correlation and regression analyses tested and satisfied that management commitment, workers involvement in safety, safety training, safety communication and feedback, safety rules and procedures, and safety promotion policies significantly and strongly correlate with the degree and level of satisfaction to the safety performance.

This research focuses only on facilities maintenance contractors working in the Klang Valley, Malaysia. It is possible that respondents from other areas or states may allow comparisons across different locations.

There are many factors affecting safety performance. By implementing safety management practices, high safety performance can be achieved in the facilities maintenance organisations in Malaysia.

This paper presents empirical findings on the relationship between employee priority on safety management practices elements and safety performance.

Briefly describes the effect recent food safety scares have had on the UK food‐processing industry and outlines recent food legislation brought in both to increase consumer confidence and to strengthen existing regulations. Also addresses the matters of BS 5750, HACCP and Total Quality Management, as they relate to the food industry, and concludes with the benefits which such an approach can have both for the industry in general and the consumer in particular.

The objective is to carry out a thorough literature review and analysis of sustainable production system (SPS) and identify avenues for the future research.

A sample of 903 articles published from 1996 to 2019 in 40 journals were considered in the analysis. The classification and analysis of articles was done based on: time, focus area, methodology, research stream, authorship, industry sector, critical elements, implementation status, type of support and performance. Based on the analysis the future scope development needs are identified.

The findings are: increasing trend in empirical and conceptual research articles, need of sustainable principles implementation in the product development with combination of all the areas, need of more intercontinental research collaborations as the sustainable production is interconnected rather than isolated, need of sustainable constructs implementation as a coherent set instead of individual constructs, need of integration of sustainable philosophy with other manufacturing philosophies to achieve sustainable results and need of testing and validation of the support by researchers.

The results from the study will be useful to the researchers, academicians and professionals to trace the gaps, growth, pertinence and research developments in the field of SPS.