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Article
Publication date: 7 December 2022

Haowei Zhang, Lili Sun, Chengli Song, Ying Liu, Xueting Xuan, Fei Wang, Jing Zhong and Li Sun

Design, fabricate and evaluate all-solid-state wearable sensor systems that can monitor ion concentrations in human sweat to provide real time health analysis and disease…

Abstract

Purpose

Design, fabricate and evaluate all-solid-state wearable sensor systems that can monitor ion concentrations in human sweat to provide real time health analysis and disease diagnosis capabilities.

Design/methodology/approach

A human health monitoring system includes disposable customized flexible electrode array and a compact signal transmission-processing electronic unit.

Findings

Patterned rGO (reduced-graphene oxide) layers can replace traditional metal electrodes for the fabrication of free-standing all solid film sensors to provide improved flexibility, sensitivity, selectivity, and stability in ion concentration monitoring. Electrochemical measurements show the open circuit potential of current selective electrodes exhibit near Nernst responses versus Na+ and K+ ion concentration in sweat. These signals show great stability during a typical measurement period of 3 weeks. Sensor performances evaluated through real time measurements on human subjects show strong correlations between subject activity and sweating levels, confirming high degree of robustness, sensitivity, reliability and practicality of current sensor systems.

Originality/value

In improving flexibility, stability and interfacial coherency of chemical sensor arrays, rGO films have been the developed as a high-performance alternative to conventional electrode with significant cost and processing complexity reduction. rGO supported solid state electrode arrays have been found to have linear potential response versus ion concentration, suitable for electrochemical sensing applications. Current sweat sensor system has a high degree of integration, including electrode arrays, signal processing circuits, and data visualization interfaces.

Details

Sensor Review, vol. 42 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 7 December 2022

Tunan Chen, Fengxiang Ma, Yue Zhao, Zhenghai Liao, Zongjia Qiu and Guoqiang Zhang

This paper aims to establish a photoacoustic detection system for SO2 using UV-LED and testify its feasibility for sensitive measurement. The work in this paper can avoid…

Abstract

Purpose

This paper aims to establish a photoacoustic detection system for SO2 using UV-LED and testify its feasibility for sensitive measurement. The work in this paper can avoid potential crossover interference in infrared (IR) range and also balance the capability and cost of feasible excitation for photoacoustic detection system.

Design/methodology/approach

In this experimental work, a cantilever-enhanced–based photoacoustic SO2 detection system using an ultraviolet (UV) LED light source with a light power of 4 mW as the excitation was established.

Findings

A feasible photoacoustic detection system for SO2 using UV-LED was established. Experimental results demonstrate that the detection limit of the system can reach the level of 0.667 ppm, which can serve as a reference for the application of PAS in insulation fault diagnosis.

Originality/value

This work investigated the potential of using ultraviolet photoacoustic spectroscopy to detect trace SO2, which provided an ideal replacement of infrared-laser-based detection system. In this paper, a photoacoustic detection system using LED with a low light power was established. Low light power requirement can expand the options of light sources accordingly. In this paper, the absorption characteristics of SO2 in the presented detection system and ultraviolet range were studied. And the detection limit of the presented system was given. Both of which can provide reference to SO2 detection in ambient SF6.

Details

Sensor Review, vol. 42 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

Case study
Publication date: 8 July 2022

Rajesh Kumar Srivastava, Vivek Mendonsa, Harshit Joshi and Tejal Pradhan

The context of the case presents an account of how corporate social responsibility (CSR) initiated by Lawrence & Mayo (L&M), a company dealing in optical frames for…

Abstract

Learning outcomes

The context of the case presents an account of how corporate social responsibility (CSR) initiated by Lawrence & Mayo (L&M), a company dealing in optical frames for 140 years, helped to build brand equity, image and identity, creating a strategic advantage against competition. The case had a deep-rooted theoretical association with a theory such as the triple bottom line theory (three Ps: profit, people and planet) on CSR. The case helps to understand and clarify the role of CSR in brand equity. It also gives an insight into the value and culture of L&M, and its impact on various stakeholders, namely, employees and customers.

Case overview/synopsis

This case is related to the CSR orientation of L&M and its impact on brand equity. As a brand, L&M is over 140 years old and has a dynamic and trending optics market in India. There is a dilemma in the company around the impact of CSR on brand equity, customer engagement and company goodwill. This case focuses on maintaining and improving brand equity, identity and image through CSR initiatives.

Complexity academic level

Undergraduate and postgraduate students, essential for students focusing on Marketing and CSR disciplines.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 8: Marketing.

Details

Emerald Emerging Markets Case Studies, vol. 12 no. 2
Type: Case Study
ISSN: 2045-0621

Keywords

Article
Publication date: 30 June 2022

Nathaniel Ayinde Olatunde, Idienumah Monday Fidelis, Imoleayo Abraham Awodele and Bosede Olajumoke Adebayo

The study assessed the stakeholders prioritization of key performance indicators (KPIs) on public and private tertiary educational projects in Osun State, Nigeria…

Abstract

Purpose

The study assessed the stakeholders prioritization of key performance indicators (KPIs) on public and private tertiary educational projects in Osun State, Nigeria intending to enhance their performance.

Design/methodology/approach

The study used a total enumeration survey to purposively select built environment professionals working in the Physical Planning and Development Unit (PPDU) and procurement units of 17 tertiary educational institutions (7public and 10 private) in Osun State Nigeria for data collection. A quantitative research approach was adopted for the study using a questionnaire. A total of 102 questionnaires were retrieved from the respondents and used for analysis. Analysis of data was done using frequency, percentile, mean score (MS), Cronbach's Alpha coefficient, t-test, and Analysis of variance (ANOVA).

Findings

The study found that in the overall opinion of the respondents the most prioritized KPIs for tertiary educational projects are for the project to meet specifications (MS = 4.17), the project must be on time (MS = 4.01), and efficient use of resources (MS = 3.96). The important KPIs for the public tertiary educational projects is that the project should meet specifications (MS = 4.08), deliver the projects on time (MS = 3.96), and be under cost (MS = 3.84). While, the most prioritized KPIs for private tertiary educational projects are for the project to meet specifications (MS = 4.25), efficient use of resources (MS = 4.14), on time, and doing the right thing (effectiveness) (MS = 4.06) each. More findings indicated that there is no significant difference in the manner built environment professionals prioritized KPIs. However, there is only a 7% significant difference in the manner professionals working in the public and private tertiary educational institutions in Nigeria ranked KPIs.

Practical implications

There is a significant difference in the ways and manner built environment professionals working with the public and private tertiary educational institutions in Nigeria view resource utilization on their projects. As such, working environment either as public or private has a significant impact on resource utilization for tertiary educational construction projects.

Originality/value

The study compared opinions of professionals working with public and private tertiary educational institutions on KPIs to enhance project performance.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 28 June 2022

Jizhuang Hui, Shuai Wang, Zhu Bin, Guangwei Xiong and Jingxiang Lv

The purpose of this paper deals with a capacitated multi-item dynamic lot-sizing problem with the simultaneous sequence-dependent setup scheduling of the parallel resource…

Abstract

Purpose

The purpose of this paper deals with a capacitated multi-item dynamic lot-sizing problem with the simultaneous sequence-dependent setup scheduling of the parallel resource under complex uncertainty.

Design/methodology/approach

An improved chance-constrained method is developed, in which confidence level of uncertain parameters is used to process uncertainty, and based on this, the reliability of the constraints is measured. Then, this study proposes a robust reconstruction method to transform the chance-constrained model into a deterministic model that is easy to solve, in which the robust transformation methods are used to deal with constraints with uncertainty on the right/left. Then, experimental studies using a real-world production data set provided by a gearbox synchronizer factory of an automobile supplier is carried out.

Findings

This study has demonstrated the merits of the proposed approach where the inventory of products tends to increase with the increase of confidence level. Due to a larger confidence level may result in a more strict constraint, which means that the decision-maker becomes more conservative, and thus tends to satisfy more external demands at the cost of an increase of production and stocks.

Research limitations/implications

Joint decisions of production lot-sizing and scheduling widely applied in industries can effectively avert the infeasibility of lot-size decisions, caused by capacity of lot-sing alone decision and complex uncertainty such as product demand and production cost. is also challenging.

Originality/value

This study provides more choices for the decision-makers and can also help production planners find bottleneck resources in the production system, thus developing a more feasible and reasonable production plan in a complex uncertain environment.

Details

Assembly Automation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 28 June 2022

Zhuo Dai and Yiju Wang

The purpose of this paper is to maximize the average profit of the supply chain by calculating the order quantity, the number of shipments during the production time of…

Abstract

Purpose

The purpose of this paper is to maximize the average profit of the supply chain by calculating the order quantity, the number of shipments during the production time of the vendor, the number of shipments during the supply cycle of the vendor and the time when the retailer’s inventory level reaches to zero.

Design/methodology/approach

A production and inventory model for degrading commodities with stochastic demand and two-level partial trade credit in a supply chain is presented. The model’s applicability and the processes' feasibility for solving are verified by GAMS software with BARON.

Findings

The impact of the model’s parameters on the vendor and retailer’s average profit was found through sensitivity analysis. The effect of the model’s parameters on the supply chain’s average profit was also found. Moreover, the reasons for this effect were given.

Practical implications

First, decision-makers may use this model to increase the supply chain's average profit. Second, the proposed model takes a general form. Third, the policymakers can also adjust the model’s parameters according to their preferences to get the desired results.

Originality/value

First, this paper develops an inventory and production model for perishable goods. Second, it is believed that the demand is random because the demand is affected by many factors, which make the study more realistic. Third, this paper studies production and inventory problems from the supply chain perspective. Finally, the interest for partial trade credit is calculated. The interest caused by stochastic shortages is also considered and calculated.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Open Access
Article
Publication date: 28 June 2022

Yahya Alnashri and Hasan Alzubaidi

The main purpose of this paper is to introduce the gradient discretisation method (GDM) to a system of reaction diffusion equations subject to non-homogeneous Dirichlet…

Abstract

Purpose

The main purpose of this paper is to introduce the gradient discretisation method (GDM) to a system of reaction diffusion equations subject to non-homogeneous Dirichlet boundary conditions. Then, the authors show that the GDM provides a comprehensive convergence analysis of several numerical methods for the considered model. The convergence is established without non-physical regularity assumptions on the solutions.

Design/methodology/approach

In this paper, the authors use the GDM to discretise a system of reaction diffusion equations with non-homogeneous Dirichlet boundary conditions.

Findings

The authors provide a generic convergence analysis of a system of reaction diffusion equations. The authors introduce a specific example of numerical scheme that fits in the gradient discretisation method. The authors conduct a numerical test to measure the efficiency of the proposed method.

Originality/value

This work provides a unified convergence analysis of several numerical methods for a system of reaction diffusion equations. The generic convergence is proved under the classical assumptions on the solutions.

Article
Publication date: 23 June 2022

Heyao Yu, Tiffany S. Legendre and InHaeng Jung

Mergers and acquisitions (M&As) are typical corporate strategies that provide hospitality business competitiveness. However, some recent evidence shows that when the…

Abstract

Purpose

Mergers and acquisitions (M&As) are typical corporate strategies that provide hospitality business competitiveness. However, some recent evidence shows that when the merged and acquired (M&Aed) restaurants have strong local characteristics, consumers feel betrayed and perceive the M&As, legitimate business activities, as immoral actions. Building upon expectancy violation theory and moral foundation theory, this study aims to examine the moderating role of locavorism on the indirect effects of preexisting relationship quality on desire for avoidance and psychological loss through brand betrayal and moral judgment.

Design/methodology/approach

This study used the M&A of Whataburger chain restaurant as the scenario and recruited 399 Texas Whataburger consumers. A moderated mediation model was developed to examine the mechanisms through which preexisting relationship quality on negative responses to M&A of local restaurants.

Findings

The results showed preexisting relationship quality influences desire for avoidance and psychological loss negatively through brand betrayal and moral judgment. The indirect effects of relationship quality on the desire for avoidance and psychological loss become more accentuated among locavores.

Practical implications

The results implied that merging and acquiring (M&Aing) companies should closely monitor consumer dialogues to promptly respond to post-M&A uncertainties when M&Aed company has a strong local identity.

Originality/value

The unique contribution of this study is showing why consumers have extreme negative emotions and judgment of immorality when M&A decisions are made for local hospitality brands through the lens of brand betrayal and moral foundation theory. The results can help M&Aing companies mitigate consumers’ negative responses to M&A of local restaurants.

Details

International Journal of Contemporary Hospitality Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 5 July 2022

Debiao Meng, Shiyuan Yang, Chao He, Hongtao Wang, Zhiyuan Lv, Yipeng Guo and Peng Nie

As an advanced calculation methodology, reliability-based multidisciplinary design optimization (RBMDO) has been widely acknowledged for the design problems of modern…

Abstract

Purpose

As an advanced calculation methodology, reliability-based multidisciplinary design optimization (RBMDO) has been widely acknowledged for the design problems of modern complex engineering systems, not only because of the accurate evaluation of the impact of uncertain factors but also the relatively good balance between economy and safety of performance. However, with the increasing complexity of engineering technology, the proposed RBMDO method gradually cannot effectively solve the higher nonlinear coupled multidisciplinary uncertainty design optimization problems, which limits the engineering application of RBMDO. Many valuable works have been done in the RBMDO field in recent decades to tackle the above challenges. This study is to review these studies systematically, highlight the research opportunities and challenges, and attempt to guide future research efforts.

Design/methodology/approach

This study presents a comprehensive review of the RBMDO theory, mainly including the reliability analysis methods of different uncertainties and the decoupling strategies of RBMDO.

Findings

First, the multidisciplinary design optimization (MDO) preliminaries are given. The basic MDO concepts and the corresponding mathematical formulas are illustrated. Then, the procedures of three RBMDO methods with different reliability analysis strategies are introduced in detail. These RBMDO methods were proposed for the design optimization problems under different uncertainty types. Furtherly, an optimization problem for a certain operating condition of a turbine runner blade is introduced to illustrate the engineering application of the above method. Finally, three aspects of future challenges for RBMDO, namely, time-varying uncertainty analysis; high-precision surrogate models, and verification, validation and accreditation (VVA) for the model, are discussed followed by the conclusion.

Originality/value

The scope of this study is to introduce the RBMDO theory systematically. Three commonly used RBMDO-SORA methods are reviewed comprehensively, including the methods' general procedures and mathematical models.

Details

International Journal of Structural Integrity, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-9864

Keywords

Article
Publication date: 27 June 2022

Zhiyuan Liu, Yuwen Chen and Jin Qin

This paper aims to address a pollution-routing problem with one general period of congestion (PRP-1GPC), where the start and finish times of this period can be set freely.

Abstract

Purpose

This paper aims to address a pollution-routing problem with one general period of congestion (PRP-1GPC), where the start and finish times of this period can be set freely.

Design/methodology/approach

In this paper, three sets of decision variables are optimized, namely, travel speeds before and after congestion and departure times on given routes, aiming to minimize total cost including green-house gas emissions, fuel consumption and driver wages. A two-phase algorithm is introduced to solve this problem. First, an adaptive large neighborhood search heuristic is used where new removal and insertion operators are developed. Second, an analysis of optimal speed before congestion is presented, and a tailored speed-and-departure-time optimization algorithm considering congestion is proposed by obtaining the best node to be served first over the congested period.

Findings

The results show that the newly developed operator of congested service-time insertion with noise is generally used more than other insertion operators. Besides, compared to the baseline methods, the proposed algorithm equipped with the new operators provides better solutions in a short time both in PRP-1GPC instances and time-dependent pollution-routing problem instances.

Originality/value

This paper considers a more general situation of the pollution-routing problem that allows drivers to depart before the congestion. The PRP-1GPC is better solved by the proposed algorithm, which adds operators specifically designed from the new perspective of the traveling distance, traveling time and service time during the congestion period.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

1 – 10 of over 319000