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The single-machine scheduling problems with deteriorating jobs and learning effect

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第4期7卷 597-601页

作者： CHENG Ming-bao SUN Shi-jie Department of Mathematics Shanghai University Shanghai 200444 China

In this paper we consider a single-machine scheduling model with deteriorating jobs and simultaneous learning, and we introduce polynomial solutions for single machine makespan minimization, total flow times minimization and maximum lateness minimization corresponding to the first and second special cases of our model under some agreeable conditions. However, corresponding to the third special case of our model, we show that the optimal schedules may be different from those of the classical version for the above objective functions.

关键词： Scheduling Single-machine learning effect Deteriorating jobs

Multi-item EPQ model with learning effect on imperfect production over fuzzy-random planning horizon

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Journal of Management Analytics 2017年第1期4卷 80-110页

作者： Amalesh Kumar Manna Barun Das Jayanta Kumar Dey Shyamal Kumar Mondal Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar UniversityMidnapore-721102WBIndia Department of Mathematics Sidho-Kanho-Birsha UniversityPuruliaWBIndia Department of Mathematics Mahishadal Raj CollegeMahishadal721628WBIndia

Uncertainty is certain in the world of *** study revisits an economic production quantity(EPQ)model with shortages for stock-dependent demand of the items with reworking and disposing of the imperfect ones over a random planning horizon under the joint effect of inflation and time value of money,where the expected time length is imprecise in *** of learning effect has been incorporated to reduce the defective *** total expected profit over the random planning horizon is maximized subject to the imprecise space *** possibility,necessity and credibility measures have been introduced to defuzzify the *** simulation-based genetic algorithm is used to make decision for the above EPQ model in different measures of *** model is illustrated through an *** analysis shows the impacts of different parameters on the objective function in the model.

关键词： imperfect production rework shortage learning effect random planning horizon genetic algorithm

learning effect and Productivity Convergence of Chinese Industrial Enterprises

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Journal of Finance Research 2020年第2期4卷 92-105页

作者： Tinghua Liu Jingru Wang Xiao Liu School of Economics Shandong University of TechnologyZiboShandong255010China School of Urban&Regional Science Institute of Finance and EconomicsShanghai University of Finance and EconomicsShanghai200433China

The main purpose of this paper is to test the production efficiency of different Chinese property industrial *** on the large sample panel data of industrial enterprises of the National Bureau of Statistics,we found that although the production efficiency of China-funded enterprises is generally weaker than foreign-funded enterprises,some China-funded enterprises have better learning *** the one hand,dynamic analysis found that private enterprises have significant learning *** the other hand,the results of convergence analysis show that China’s private enterprises have the potential to gradually catch up with the frontier level of world production efficiency and have better learning ability to catch up *** state-owned enterprises tend to be more efficient at the beginning of their establishment,but their productivity is fairly slow to improve,especially for state-owned enterprises with high efficiency sub-samples,so that it’s hard for them to continue improving their *** analysis found that the marketization process helped the China enterprises to improve their learning ability and China should continue to strengthen the reform of property rights and promote the marketization process.

关键词： Production efficiency learning effect Efficiency catch-up βconvergence analysis

Research on Factors of Linear Algebra learning effect

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Journal of Applied Mathematics and Physics 2020年第7期8卷 1362-1373页

作者： Xin Wang Chong Hu Yunhui Wang School of Data Science and Software Engineering Baoding University Baoding China School of Automotive and Electronic Engineering Baoding University Baoding China

Linear algebra has a very important application in physics and technical disciplines. This article conducted a questionnaire survey on the factors that affect the effect of linear algebra learning;the questionnaire contains several aspects of learning attitude, learning interest, learning methods, teaching methods, etc.;based on recycling data, cross chi-square test and multiple logistic regression analysis are used to obtain the factors that affect the effect of linear algebra learning. The research results show that: learning methods, learning attitudes, teaching methods and elementary algebra basics are the main factors that affect the learning effect of linear algebra;among them, there are positive correlations between teaching methods, learning methods, learning attitudes and learning effects;teaching methods, learning methods 3. The three principal components of learning attitude are positively correlated. Based on the research and analysis, the following conclusions are drawn: finding a suitable learning method for the college students and maintaining a positive learning attitude are effective means to improve the linear algebra learning effect of the college students;in teaching, it is recommended to advance with the times, the teaching content and teaching methods innovate to stimulate students’ interest in learning,

关键词： Linear Algebra learning effect Influencing Factors

A Study on the Relationship between English learning Motivation and learning effect

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Journal of Contemporary Educational Research 2024年第9期8卷 243-247页

作者： Xueting Li School of Literature and Media Xi’an Fanyi UniversityXi’an 710105Shaanxi ProvinceChina

In order to explore the relationship between college students’English learning motivation and learning effect,this paper uses a questionnaire survey to investigate and analyze the English classroom learning motivation of first-year non-English *** on the final English score,the paper analyzes the correlation between English learning motivation and learning effect.

关键词： English learning motivation learning effect learning attitude

A note on single-machine rescheduling problems with learning effect under disruptions

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A note on single-machine rescheduling problems with learning...

THE effect OF WORKER learning ON SCHEDULING JOBS IN A HYBRID FLOW SHOP： A BI-OBJECTIVE APPROACH

2010 2nd IEEE International Conference on Advanced Management Science（IEEE ICAMS 2010）

作者： Cheng Mingbao School of Management Guangdong University of Technology Guangzhou PR.China Zhang Bixi School of Management Guangdong University of Technology Guangzhou PR.China

Rescheduling problem means that a set of original jobs has already been scheduled to minimize some classical objective,then the decision maker needs to insert some new jobs into the existing schedule and creates a *** this paper,we consider single-machine rescheduling problem with position-dependent learning effect under disruption,which learning effect means that the processing time of a job reflects a decreasing as a function of the number of *** objective is to minimize makepan,the total completion time and maximum lateness under a limit of the disruption from the original scheduling,and to minimize the total of the cost with original cost measure and disruption,*** show that the considered problem can be solved in polynomial time.

关键词： Rescheduling learning effect Disruption Makespan Total completion time Lateness.

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Journal of Systems Science and Systems Engineering 2018年第3期27卷 265-291页

作者： Farzad Pargar Mostafa Zandieh Osmo Kauppila Jaakko Kujala Industrial Engineering and Management Faculty of Technology University ofOulu Oulu Finland Department of Industrial Management Management and Accounting Faculty Shahid Beheshti University G.C.Tehran Iran

This paper studies learning effect as a resource utilization technique that can model improvement in worker＇s ability as a result of repeating similar tasks. By considering learning of workers while performing setup times, a schedule can be determined to place jobs that share similar tools and fixtures next to each other. The purpose of this paper is to schedule a set of jobs in a hybrid flow shop （HFS） environment with learning effect while minimizing two objectives that are in conflict： namely maximum completion time （makespan） and total tardiness. Minimizing makespan is desirable from an internal efficiency viewpoint, but may result in individual jobs being scheduled past their due date, causing customer dissatisfaction and penalty costs. A bi-objective mixed integer programming model is developed, and the complexity of the developed bi-objective model is compared against the bi-criteria one through numerical examples. The effect of worker learning on the structure of assigned jobs to machines and their sequences is analyzed. Two solution methods based on the hybrid water flow like algorithm and non-dominated sorting and ranking concepts are proposed to solve the problem. The quality of the approximated sets of Pareto solutions is evaluated using several performance criteria. The results show that the proposed algorithms with learning effect perform well in reducing setup times and eliminate the need for setups itself through proper scheduling.

关键词： Bi-objective scheduling hybrid flow shop learning effect meta-heuristic

The effect of scaffolding instruction on learning among nursing students in China:a meta-analysis

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Nursing Communications 2022年第1期6卷 124-131页

作者： Sha-Sha Jia Yan-Y uan Lei Chang Li Xiang-Shu Cui School of Nursing Yanbian UniversityYanji 133000China.

Objective:To systematically evaluate the influence of scaffolding instruction on the learning effect of nursing students in ***:Through the databases of CNKI,Wanfang,VIP,CBM,PubMed,Cochrane Library,Embase and Web of Science,the randomized controlled trials of scaffolding instruction in nursing field were collected from the establishment of the databases to the publication in March *** literature screening,data extraction and quality evaluation,meta-analysis was performed using RevMan5.3 and Stata16.0 ***:Nineteen articles were included,with a total of 2,340 nursing ***-analysis results showed that,compared with the traditional teaching method,the scaffolding instruction was significantly better in nursing students’theoretical examination scores(SMD=1.37,95%CI:1.00 to 1.75,P<0.001),operation skill scores(SMD=1.83,95%CI:1.23 to 2.42,P<0.001),communication ability(SMD=1.51,95%CI:0.70 to 2.32,P=0.0003)and teaching satisfaction(P<0.05).Conclusion:Scaffolding instruction can improve the theoretical and operational scores of nursing students,and it also has a positive impact on communication ability and teaching *** teaching method deserves to be applied and promoted in the field of nursing education.

关键词： scaffolding instruction Chinese nursing students learning effect meta-analysis

SCHEDULING JOBS WITH GENERAL learning FUNCTIONS

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Journal of Systems Science and Systems Engineering 2011年第1期20卷 119-125页

作者： Li-Yan WANG Jian-Jun WANG Ji-Bo WANG En-Min FENG School of Science Shenyang Aerospace University Shenyang 110136 China School of Mathematical Sciences Dalian University of Technology Dalian 116024 China School of Management Dalian University of Technology Dalian 116024 China

This paper deals with single-machine scheduling problems with a more general learning effect based on sum-of-processing-time. In this study, sum-of-processing-time-based learning effect means that the processing time of a job is defined by a decreasing function of the total normal processing time of jobs that come before it in the sequence. Results show that even with the introduction of the sum-of-processing-time-based learning effect to job processing times, single-machine makespan minimization problems remain polynomially solvable. The curves of the optimal schedule of a total completion time minimization problem are V-shaped with respect to iob normal orocessinz times.

关键词： Scheduling single machine learning effect makespan total completion time