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Metabolic syndrome contains metabolic disorders that have association with other chronic diseases. Melatonin is a bioactive compound which is found in plants and also produced in the body. The purpose of this paper is to assess the effect of melatonin supplement on metabolic syndrome components, also leptin and adiponectin blood concentrations in patients with metabolic syndrome.

A double blind, placebo-controlled, randomized clinical trial was conducted on 70 subjects with metabolic syndrome. Participants received 6 mg/day melatonin or placebo before bedtime for 12 weeks. At the beginning and end of treatment period, blood samples were collected and biochemical parameters were measured. In addition, blood pressure and anthropometric indices were examined before and after the supplementation. Independent sample t-test was used to compare changes in metabolic syndrome components between the two study groups.

Results showed a significant reduction in waist circumference (−1.54 vs −0.04 cm; p = 0.036), systolic blood pressure (−3.52 vs 0.79 mmHg; p = 0.020), diastolic blood pressure (−1.50 vs 1.73 mmHg; p = 0.014), serum leptin concentration (−2.54 vs 0.27ng/ml; p = 0.041) and an elevation in high-density lipoprotein cholesterol (2.19 vs −0.79 mg/dl; p = 0.038) in the melatonin group compared to the placebo.

If insulin concentration had been measured, it might have revealed better interpretation of melatonin effect on fasting blood glucose.

This study showed that melatonin as a nutritional supplement improved most metabolic syndrome components and concentration of leptin in the melatonin group compared to the placebo.

The rapid development of smart cities and green logistics has stimulated a lot of research on reverse logistics, and the diversified data also provide the possibility of innovative research on location-routing problem (LRP) under reverse logistics. The purpose of this paper is to use panel data to assist in the study of multi-cycle and multi-echelon LRP in reverse logistics network (MCME-LRP-RLN), and thus reduce the cost of enterprise facility location.

First, a negative utility objective function is generated based on panel data and incorporated into a multi-cycle and multi-echelon location-routing model integrating reverse logistics. After that, an improved algorithm named particle swarm optimization-multi-objective immune genetic algorithm (PSO-MOIGA) is proposed to solve the model.

There is a paradox between the total cost of the enterprise and the negative social utility, which means that it costs a certain amount of money to reduce the negative social utility. Firms can first design an open-loop logistics system to reduce cost, and at the same time, reduce negative social utility by leasing facilities.

This study provides firms with more flexible location-routing options by dividing them into multiple cycles, so they can choose the right option according to their development goals.

This research is a pioneering study of MCME-LRP-RLN problem and incorporates data analysis techniques into operations research modeling. Later, the PSO algorithm was incorporated into the crossover of MOIGA in order to solve the multi-objective large-scale problems, which improved the convergence speed and performance of the algorithm. Finally, the results of the study provide some valuable management recommendations for logistics planning.

This study aims to investigate the influence of supply chain resilience (SCR) and supply chain capabilities (SCC) on supply chain performance (SCP) through the direct and moderating influence of the degree of SCR (DSCR), as demonstrated in UAE energy industry supply chain management (SCM) processes.

Using the partial least squares structural equation modeling (PLS-SEM), a questionnaire-survey collected 168 valid responses from UAE-based companies that operate within the energy industry. This study investigates the moderated mediation research model of the SCR, SCC and SCP with DSCR being considered as the variable having the moderation role.

SCR and SCC were found to have a significant positive affect on SCP playing a mediating role in improving performance during or after a SC disruption. However, the objective was to confirm the exitance of the moderator role in DSCR to substantiate its moderated mediating effect in the research model. There was a negative moderating effect of SCR on SCP through SCC.

This is among the pioneer study that suggests and empirically tests the moderated mediating impacts of the SCR degree on the relationships between SCR, capability within a supply chain and its performance. An additional element of originality of this study is its relevance to the UAE energy industry and recent SC disruptions.

This study aims to investigate supply network (SN) resilience capabilities across the organizational, supply chain (SC) and industry levels by drawing on the complex adaptive systems (CASs) theory and the social–ecological perspective of resilience. An empirically grounded framework operationalizes the concept of social–ecological resilience by expounding resilience capabilities across phases of the CAS adaptive cycle.

This research uses a qualitative multiple case study approach. It draws on the case of the Australian Defence Manufacturing SN (ADM SN) during COVID-19 disruptions. A total of 28 interviews with senior decision makers from 17 companies, complemented by 5 interviews with the Australian Defence SC organizations and secondary data analysis, support the findings.

Individual organizations’ SC visibility and flexibility enabled by effective risk management and collaboration enhance the ability of the SN to anticipate and prepare for disruption. At the same time, the strength of SC relationships reduces resilience. SN disruption response velocity is enabled by inventory redundancy, process flexibility at the organizational level and visibility and collaboration at the SC level. Institutional support at the national industry level, development of value-adding capabilities and manufacturing process flexibility at the organizational level enhances the SN’s ability to re-organize. The transition from hierarchical to decentralized collaborative governance enhances SN resilience.

From a practitioner’s perspective, the findings highlight the need to embrace a broader view of SC beyond immediate tiers. Decision-makers in multinational companies must recognize the long-term impact of their procurement decisions on the supplier ecosystem. Developing local supplier capabilities rather than relying on established global SCs will pay off with future resilience. It, however, demands substantial investment and radical changes across all SC tiers. The lesson for smaller firms is not to over-rely on the existing relationships with supply partners. Although trust-based relationships and collaboration are essential, over-commitment can be counterproductive during global disruptions. With a lack of visibility and control over the SC, operational flexibility is critical for small firms to adapt to shifts in supply and demand.

To the best of the authors’ knowledge, this empirical research is one of the first attempts to operationalize the social–ecological perspective of SN resilience. Evidence-based theoretical propositions contribute to the emerging conversation about the CAS nature of resilience by demonstrating the multi-level effects of resilience capabilities.

This study is to reconfigure a hierarchical supply chain model utilizing databases and text files to understand future pathways due to COVID-19 pandemic has had a bullwhip effect, disrupting the global supply chain, and a mechanism is needed to address this disruptive event under pandemic uncertainties.

To address this mechanism, this study employs bibliometric analysis and text mining to reconfigure a hierarchical supply chain model under pandemic conditions and associates it with social media to conduct an intuitive visual analysis.

The current academic concerns are related to an overconcentration on risk management and a data-driven approach, generating an enormous gap between the concerns of academics and those of the public. The evidence shows that for both countries with outstanding performance and those that need improvement, the efficiency in terms of preventing the spread of the pandemic should be promoted.

This study contributes to (1) reconfiguring a hierarchical supply chain model under pandemic uncertainties and (2) bridging theory and practice by offering comparable interrelated attributes to guide post-COVID-19 strategies in the supply chain. The findings are that the supply management approach and big data are attributes that involve the concerns of world public and academics under pandemic uncertainties.