Different strategies to improve the production to reach the optimum capacity in plastic company

Jadayil, Wisam Abu; Khraisat, Walid; Shakoor, Mwafak

doi:10.1080/23311916.2017.1389831

Cited by 12 publications

(12 citation statements)

References 29 publications

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“…Long working duration at a consistent production rate happens by machinery (Subramaniam et al., 2009). Providing efficient and effective utilization of such production resources is the objective of production planning to meet customer demand (Abu Jadayil et al., 2017). The selection of machine running speed is an optimization problem that includes decisions to increase or decrease the speed considering the available conditions at hand.…”

Section: Computational Resultsmentioning

confidence: 99%

“…The selection of machine running speed is an optimization problem that includes decisions to increase or decrease the speed considering the available conditions at hand. Although the fast running speed of machines can cause an increase in production, it might raise critical issues such as machine age, accelerated depreciation, cost of fuel, cost of maintenance, and so forth (Abu Jadayil et al., 2017). Commonly employed optimization objectives are (1) maximizing the production rate—the number of parts produced in a unit time interval—and (2) minimizing the production cost (set up cost + downtime cost + fuel cost + equipment maintenance + …).…”

Section: Computational Resultsmentioning

confidence: 99%

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An extended ϵ‐constraint method for a multiobjective finite‐horizon Markov decision process

Eghbali-Zarch

Tavakkoli–Moghaddam

Azaron

et al. 2021

Int Trans Operational Res

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A Markov decision process (MDP) is an appropriate mathematical framework for analysis and modeling a large class of sequential decision-making problems. Real-world applications necessitate the evaluation of the value of a decision according to several conflicting objectives. This paper presents an extended -constraint method for a multiobjective finite-horizon MDP. This study integrates the -constraint method with the Kbest policies algorithm to find the nondominated deterministic Markovian policies on the Pareto-optimal frontier. The proposed algorithm is evaluated on biobjective maintenance scheduling and machine running speed selection problems, and its performance is compared with a classic approach in the literature (weightedsum, WS, method). Satisfying results show that the proposed algorithm obtains a good-quality Pareto frontier and has advantages over the WS method.

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Section: Computational Resultsmentioning

confidence: 99%

Section: Computational Resultsmentioning

confidence: 99%

An extended ϵ‐constraint method for a multiobjective finite‐horizon Markov decision process

Eghbali-Zarch

Tavakkoli–Moghaddam

Azaron

et al. 2021

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…Complex organisations such as universities need continuous pruning and strategic planning to fast forward to the most up-to-date efficient growth. If there is good coordination, control, and a solid action plan, efficiency will emerge from those conditions (Abu Jadayil et al, 2017). Hon (1982) found that monitoring and controlling the input and output of a manufacturing system is very efficient in optimizing the production and the system objectives.…”

Section: Measures For Productivitymentioning

confidence: 99%

Occupational health: the impact of occupational stressors on job productivity

Pallewaththa

Wijesiri

2021

Sri Lanka J. Soc. Sci.

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Occupational health is assessing and managing the effects of work on an individual's health and effects of their health on their capability to work. Occupational stress plays a prominent role in employee productivity. Studies on occupational stress among administrative personnel in Sri Lanka are inadequate. The general objective of this study was to investigate the impact of occupational stressors on the job productivity of administrative staff in the newly established public sector universities in Sri Lanka. The study design was hypothetico-deductive. The task (task autonomy, task variety, task overload, working conditions, physical work layout, facilities provided, noises and continuous interruptions), role (role conflicts, role overload, role ambiguity, proactive coping behaviours, situational constraints, employee hassles and employee harassments), and interpersonal demands (support provided by the staff, pressure created by the staff) were considered as independent variables. Productivity was the dependent variable (efficiency: availability of quality standards, guidelines and benchmarks; effectiveness: action plans, monitoring procedures and controlling mechanisms). Ninetytwo administrative officers were selected from the newly established public sector universities as the sample. A selfadministrated questionnaire was applied to collect data. Four hypotheses were developed, and data was analysed through the SPSS package. Pearson's correlation, determinant of coefficient, Model summary and ANOVA for multiple regression were used to analyse data. Positive relationships of the task, role and interpersonal demands with job productivity were observed. Variance in job productivity was significantly explained by the variables associated with occupational stressors. In conclusion, conducting longitudinal or interventional studies to address occupational stressors is recommended.

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“…This research is implementing SERVIQUAL tool on the telecommunication service in UAE, taking into consideration all research aspects and findings of improving quality presented by other researchers, like Abu Jadayil et al (2017) and Shakoor et al (2017a, 2017b, 2017c, 2017d, 2017e). No past research tried to implement the SERVIQUAL tool on the telecommunication sector in UAE, where customers are coming from more than 100 different countries and backgrounds.…”

Section: Literature Reviewmentioning

confidence: 99%

Using SERVIQUAL to investigate the quality of provided wireless communication services in UAE

Jadayil

Shakoor

Bashir

et al. 2020

IJQSS

Self Cite

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Purpose The purpose of this paper is to investigate the service quality of wireless telecommunication services in the UAE. Design/methodology/approach This study uses the five dimensions of SERVQUAL instrumentation (reliability, assurance, tangibility, empathy and responsiveness) that are believed to represent service quality to approach a result of service quality level through comparing customers’ expectations to their perceptions. A SERVQUAL survey was constructed and distributed among a total number of 100 Etisalat users from four different age groups. Findings The results showed a significant difference between users’ expectations and the current level of quality of services in tangibility dimension of quality. The other variables were ranked in this order, assurance, reliability, responsiveness and empathy in service quality. Research limitations/implications The research findings encompass individuals from society only and may not be practical to generalize the findings to business organizations or industries as they have special offers and packages designed for their nature of the study. Practical implications This research is intensely valuable for Etisalat telecommunication company as it reflects and rates their service provided to the individuals of the society (citizens and residents) from five different critical dimensions. Consequently, it offers the firm the chance to improve the negative gaps in their services. Thus, higher customer satisfaction and loyalty. Originality/value This study demonstrated that a multi-cultural society could influence customers’ expectations and perceptions of service quality. The study results showed opposing expectations and perceptions to the same dimension from people of the same age group. The highest gaps were found to be in the tangibility and assurance dimensions whilst the lowest gap was found in the empathy dimension.

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Different strategies to improve the production to reach the optimum capacity in plastic company

Cited by 12 publications

References 29 publications

An extended ϵ‐constraint method for a multiobjective finite‐horizon Markov decision process

An extended ϵ‐constraint method for a multiobjective finite‐horizon Markov decision process

Occupational health: the impact of occupational stressors on job productivity

Using SERVIQUAL to investigate the quality of provided wireless communication services in UAE

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