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In most manufacturing systems, a number of production stages are involved between which some in‐process inventory usually occurs. This inventory imposes a further cost on the overall system, not only in terms of investment charges but also shop floor congestion, additional material handling charges and loss of floor space. In attempting to optimise this in‐process inventory a necessary balance must be obtained with the associated manufacturing lead time. A mathematical model is devised to achieve the above in a multi‐stage production system and this is demonstrated by application to a set of actual industrial data.

A corrected attempt to determine the size of in‐process inventory and the manufacturing lead time for an n‐stage production system is made. This corrects the earlier model developed by Ornek and Collier by accurately deriving the model for determining the manufacturing cycle time.

Diversity plays a vital role in the sustainable development of any country. Discrimination, segregation and bigotry are rampant causes of social evil and do great harm to our society. This study aims to investigate whether ethnic and religious diversity affects the country’s well-being or not, via a comparative analysis between developing and developed countries.

This study used a generalized method of moments technique for empirical analysis of 158 developing and developed countries. For measurement of ethnic and religious diversity, this study used ethnic fractionalization index of Alesina (2003).

The empirical findings indicate that ethnic and religious diversity both increases the economic prosperity for developed countries, and alternatively, it makes it more miserable for developing countries. This study suggests that organizing a diverse society is a difficult task; thus, developing countries need to promote a cohesive society like developed countries by providing equal, secure and peaceful opportunity to get fruitful results of diverse populations.

This study investigates a comparative analysis between developing and developed countries regarding impact of ethnic and religious diversity on economic development.

EVERY so often a new “in” word comes into fashion and everybody seems to use it whether it fits or not. Words like “situation”, “productivity” and “management”. Words like “y'know” or “Oh yeah?”. Usually they are started by comedians or pop singers. For a while they drive us mad. Then, gratefully, they fall into disuetude. They are quickly forgotten.

WE were astonished, surely with reason, to read in the July issue of Management Services that they were seeking help from a “large number of organisations” for a survey to offset what it describes as “the lack of current information” to provide a salary survey in the management services field.

The World Bank report Changing Wealth of Nations 2018 is only the most recent reminder of how much poorer Africa is becoming, losing more than US$100 billion annually from minerals, oil, and gas extraction, according to (quite conservatively framed) environmentally sensitive adjustments of wealth. With popular opposition to socioeconomic, political, and ecological abuses rising rapidly in Africa, a robust debate may be useful: between those practicing anti-extractivist resistance, and those technocrats in states and international agencies who promote “ecological modernization” strategies. The latter typically aim to generate full-cost environmental accounting, and to do so they typically utilize market-related techniques to value, measure, and price nature. Between the grassroots and technocratic standpoints, a layer of Non-Governmental Organizations (NGOs) do not yet appear capable of grappling with anti-extractivist politics with either sufficient intellectual tools or political courage. They instead revert to easier terrains within ecological modernization: revenue transparency, project damage mitigation, Free Prior and Informed Consent (community consultation and permission), and other assimilationist reforms. More attention to political-economic and political-ecological trends – including the end of the commodity super-cycle, worsening climate change, financial turbulence and the potential end of a 40-year long globalization process – might assist anti-extractivist activists and NGO reformers alike. Both could then gravitate to broader, more effective ways of conceptualizing extraction and unequal ecological exchange, especially in Africa’s hardest hit and most extreme sites of devastation.

While the relationship between natural resource rent and economic growth is well documented in the literature, not much robust analysis has been done to estimate the causative relationship between oil resource rent and economic growth in Ghana. This might be due to the fact that commercial production of crude oil started not long ago in Ghana. This paper aims to examine the causal relationship between oil resource rent and economic growth for the period of 2011 to 2020 in Ghana.

The study incorporates economic growth as a function of oil resource rent, non-oil revenue, foreign direct investment, capital and interest rate in a Cobb–Douglass production function/model. The study used four different estimation strategies including the autoregressive distributed lags model, Toda–Yamamoto test approach, nonlinear autoregressive distributed lags model and nonlinear Granger causality.

The main finding revealed that 1% increase in oil resource rent generates 0.84% increase in economic growth of Ghana in the long run. Contrary, the authors find an insignificant positive effect of oil resource rent on economic growth of Ghana in the short run for the period under study. The result from the Toda–Yamamoto test approach also showed a unidirectional causality running from oil resource rent to economic growth of Ghana, providing evidence in support of the resource blessing hypothesis in Ghana. The results are robust to two different alternative estimation strategies.

The causal relationship between crude oil resource rent and economic growth is examined.

The MENA region is very rich in terms of natural resources. At the same time, the MENA region has also been a victim of terrorism during the last few years. This study is an attempt to investigate whether there is any relationship between natural resources and terrorism in the MENA region.

We have focused on 15 resource-rich countries located in the MENA region for the period 2002–2019. We have applied appropriate econometric techniques and have also controlled for other dominant determinants of terrorism while studying the relationship between these two variables.

The results provide solid evidence in favor of the hypothesis that natural resources encourage terrorism. We find that natural resources have positively impacted terrorism. Besides, the natural resources, other factors such as per capita GDP, trade openness, political stability, domestic investment and government expenditures have negatively impacted terrorism. Moreover, the findings suggest that FDI and corruption are irrelevant in explaining terrorism while the findings regarding employment level and terrorism are unexpected. The obtained results are robust to alternative estimating methodologies.

The results have serious policy implications for the MENA region. The MENA region in general is suggested to devise appropriate policies regarding their huge natural resources so as to tackle the terrorism problem effectively. Similarly, paying favorable attention to trade liberalization, political stability, government expenditures, investment, rising income of the population in the presence of macroeconomic stability in the form of lower inflation would also help the MENA region to eradicate the problem of terrorism.

The available literature has largely ignored the role of natural resources in explaining the problem of terrorism. Therefore, this study has provided relatively new evidence regarding the determinants of terrorism.

Since lean manufacturing considers that “Inventory is evil”, the purpose of this paper is to find and quantify the relations between work-in-process inventory (WIP), manufacturing lead time (LT) and the operational variables they depend upon. Such relations provide guidelines and performance indicators in process management.

The authors develop equations to analyse how, in discrete deterministic serial batch processes, WIP and LT depend on parameters like performance time (of each workstation) and batch size. The authors extend those relations to processes with different lots and the authors create a multiple-lot box score.

In this paper, the relations among WIP, LT and the parameters they depend on are derived. Such relations show that when WIP increases, LT increases too, and vice versa, and the parameters they depend on. Finally, these relations provide a framework for WIP reduction and manufacturing LT reduction and agree with the empirical principles of lean manufacturing.

Quantitative results are only exact for discrete deterministic batch processes without any delays. Expected results might not be achieved in real manufacturing environments. However, qualitative results show the underlying relations amongst variables. Different expressions might be derived for other situations.

Understanding the relations between manufacturing variables allows operations managers better design, implement and control manufacturing processes. The box score, implemented on a spreadsheet, allows testing the effect of changes in different operational parameters on the manufacturing LT, total machine wait time and total lot queue time.

The paper presents a discussion about process performance based on the mutual influence between WIP and LT and other variables. The relation is quantified for the discrete deterministic case, complementing the models that exist in the literature. The box score allows mapping more complex processes.