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Synergic Effect of Reworking for Imperfect Quality Items with the Integration of Multi-Period Delay-in-Payment and Partial Backordering in Global Supply Chains Article

Waqas Ahmed, Muhammad Moazzam, Biswajit Sarkar, Saif Ur Rehman

Engineering 2021, Volume 7, Issue 2,   Pages 260-271 doi: 10.1016/j.eng.2020.07.022

Abstract:

In intercontinental trade and economics goods are bought from a global supplier. On occasion, the expected lot may include a fraction of defective items. These imperfect items still have worth and can be sold to customers after repair. It is cost-effective and sustainable to rework such items in nearby repair workshops rather than return them. The reworked items can be returned from the workshop to the buyer when shortages are equal to the quantity of imperfect items. In the meantime, the supplier correspondingly deals a multi-period delay-in-payments strategy with purchaser. The entire profit has been maximized with paybacks for interim financing. This study aims to develop a synergic inventory model to get the most profit by making an allowance for reworking, multi-period delay-in-payments policy, and shortages. The findings of the proposed model augment inventory management performance by monitoring cycle time as well as fraction of phase with optimistic inventory for a supply chain. The results demonstrate that profit is smaller if the permitted period given by supplier to buyer is equal to or greater than the cycle time, and profit is greater if the permitted period is smaller than the cycle time. The algebraic method is engaged to make a closed system optimum solution. The mathematical experiment of this study is constructed to provide management insights and tangible practices.
 

Keywords： Imperfect items     Rework     Shortages     Multi-period delay-in-payments     Non-derivative methodology    

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A conceptual methodology for simultaneous optimization of water and heat with non-isothermal mixing

Yanlong Hou, Wanni Xie, Zhenya Duan, Jingtao Wang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 2,   Pages 154-165 doi: 10.1007/s11705-016-1593-z

Abstract: A new conceptual methodology is proposed to simultaneously integrate water allocation and energy networkswith non-isothermal mixing.the obtained WAN, the whole water allocation and heat exchange network (WAHEN) is combined with the non-isothermal

Keywords： simultaneous integration     non-isothermal mixing     multi-target optimization     water and energy networks    

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Unified methodology for site-characterization and sampling of highway runoff

Jy S. WU, Craig J. ALLAN,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1,   Pages 47-58 doi: 10.1007/s11783-010-0003-x

Abstract: This unified methodology provides a basis for initial assessment of the pollutant-constituent loads from

Keywords： highway runoff     pollutant loads     regression models     non-point source pollution     storm water permit    

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optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominated

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 81-94 doi: 10.1007/s11465-014-0287-9

Abstract: Response surface methodology based on Central composite design (CCD) is used to design the experimentsNon-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution.

Keywords： jatropha biodiesel     fuel properties     response surface methodology     multi-objective optimization     non-dominated    

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Comparisons of bridges flutter derivatives and generalized ones

Fuyou XU , Zhe ZHANG , Cailiang HUANG , Airong CHEN ,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 3,   Pages 272-278 doi: 10.1007/s11709-009-0042-1

Abstract: The concept of “generalized flutter derivative” is proposed, and its physical meaning is

Keywords： bridge     flutter derivative     generalized flutter derivative     self-excited aerodynamic force     Sutong Bridge    

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6

Abstract:

• UV-vis absorption analyzer was applied in drainage type online recognition.

Keywords： Drainage online recognition     UV-vis spectra     Derivative spectrum     Convolutional neural network    

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Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 221-236 doi: 10.1007/s11705-021-2061-y

Abstract: For utilizing such time-resolved data to model the dynamic behavior, dynamic response surface methodologyextents are modeled instead of the species concentrations, illustrates the versatility of the DRSM methodology

Keywords： data-driven modeling     pharmaceutical organic synthesis     Lasso regression     dynamic response surface methodology    

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On Engineering Management Methodology

He Jishan,Xu Changshan,Wang Qinge,Guo Feng

Strategic Study of CAE 2014, Volume 16, Issue 10,   Pages 4-9

Abstract:

In this paper, the framework system of engineering management methodologyhas been constructed on the three levels: philosophical methodology, general methodology and specificmethodology.The main methods of philosophical methodology of engineering management include seeking truth from factsThe main methods of the specific methodology of engineering management are composed of case study and

Keywords： engineering     management methodology     philosophical     methodology     general     methodology     specific     methodology    

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of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology

Sunil DHINGRA, Gian BHUSHAN, Kashyap Kumar DUBEY

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 495-505 doi: 10.1007/s11708-013-0267-5

Abstract: This paper described the production of karanja biodiesel using response surface methodology (RSM) and

Keywords： optimization of karanja biodiesel     genetic algorithm (GA)     response surface methodology (RSM)     percentage    

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Rethinking the tendering frameworks of construction contractors in the context of a soft systems methodology

Stephen URQUHART, Andrew WHYTE

Frontiers of Engineering Management 2018, Volume 5, Issue 3,   Pages 369-380 doi: 10.15302/J-FEM-2018019

Abstract: A new way of presenting the ITP of contractors is assessed using a soft systems methodology (SSM) approach

Keywords： contractor     corporate governance     humanistic     risk     soft systems methodology     tendering procedures    

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Exploring the methodology and application of clinical pathway in evidence-based Chinese medicine

Sicheng Wang, He Yu, Jianping Liu, Baoyan Liu

Frontiers of Medicine 2011, Volume 5, Issue 2,   Pages 157-162 doi: 10.1007/s11684-011-0128-8

Abstract: explored the application of the clinical pathway of evidence-based Chinese medicine incorporated with the methodology

Keywords： evidence-based medicine     clinical pathway     methodology     concept     technical difficulty    

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Optimization of the O/HO process with response surface methodology for pretreatment of mother liquor

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 4, doi: 10.1007/s11783-020-1371-5

Abstract:

• Real ML-GFW with high salinity and high organics was degraded by O3/H2O2 process.

Keywords： High organic matters     Gas field wastewater     O3/H2O2     Response surface methodology    

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A highly efficient methodology for the preparation of

Yongxin Zhang, Shucheng Wang, Yaodong Huang

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 679-686 doi: 10.1007/s11705-020-1979-9

Abstract: Based on this methodology, the first total synthesis of 3,3′-[oxybis(methylene)]bis(9-methoxy-9 -carbazole

Keywords： N-methoxyl carbazole     dimeric N-methoxyl carbazole     alkaloid     total synthesis     double N-arylation of methoxyamine    

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Complex Financial Information System Engineering Management from the Perspective of Meta-synthesis Methodology—with

Hong-feng Chai,Quan Sun

Frontiers of Engineering Management 2016, Volume 3, Issue 4,   Pages 404-413 doi: 10.15302/J-FEM-2016037

Abstract: By integrating the meta-synthesis methodology and the financial information system engineering, the paper

Keywords： financial information system     meta-synthesis methodology     bank card     information exchange    

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Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 4,   Pages 523-535 doi: 10.1007/s11705-021-2083-5

Abstract: Solubility has been widely regarded as a fundamental property of small molecule drugs and drug candidates, as it has a profound impact on the crystallization process. Solubility prediction, as an alternative to experiments which can reduce waste and improve crystallization process efficiency, has attracted increasing attention. However, there are still many urgent challenges thus far. Herein we used seven descriptors based on understanding dissolution behavior to establish two solubility prediction models by machine learning algorithms. The solubility data of 120 active pharmaceutical ingredients (APIs) in ethanol were considered in the prediction models, which were constructed by random decision forests and artificial neural network with optimized data structure and model accuracy. Furthermore, a comparison with traditional prediction methods including the modified solubility equation and the quantitative structure-property relationships model was carried out. The highest accuracy shown by the testing set proves that the ML models have the best solubility prediction ability. Multiple linear regression and stepwise regression were used to further investigate the critical factor in determining solubility value. The results revealed that the API properties and the solute-solvent interaction both provide a nonnegligible contribution to the solubility value.

Keywords： solubility prediction     machine learning     artificial neural network     random decision forests    

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Title Author Date Type Operation

Synergic Effect of Reworking for Imperfect Quality Items with the Integration of Multi-Period Delay-in-Payment and Partial Backordering in Global Supply Chains

Waqas Ahmed, Muhammad Moazzam, Biswajit Sarkar, Saif Ur Rehman

Journal Article

A conceptual methodology for simultaneous optimization of water and heat with non-isothermal mixing

Yanlong Hou, Wanni Xie, Zhenya Duan, Jingtao Wang

Journal Article

Unified methodology for site-characterization and sampling of highway runoff

Jy S. WU, Craig J. ALLAN,

Journal Article

optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominated

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Journal Article

Comparisons of bridges flutter derivatives and generalized ones

Fuyou XU , Zhe ZHANG , Cailiang HUANG , Airong CHEN ,

Journal Article

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Journal Article

Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Journal Article

On Engineering Management Methodology

He Jishan,Xu Changshan,Wang Qinge,Guo Feng

Journal Article

of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology

Sunil DHINGRA, Gian BHUSHAN, Kashyap Kumar DUBEY

Journal Article

Rethinking the tendering frameworks of construction contractors in the context of a soft systems methodology

Stephen URQUHART, Andrew WHYTE

Journal Article

Exploring the methodology and application of clinical pathway in evidence-based Chinese medicine

Sicheng Wang, He Yu, Jianping Liu, Baoyan Liu

Journal Article

Optimization of the O/HO process with response surface methodology for pretreatment of mother liquor

Journal Article

A highly efficient methodology for the preparation of

Yongxin Zhang, Shucheng Wang, Yaodong Huang

Journal Article

Complex Financial Information System Engineering Management from the Perspective of Meta-synthesis Methodology—with

Hong-feng Chai,Quan Sun

Journal Article

Machine learning-based solubility prediction and methodology evaluation of active pharmaceutical ingredients

Journal Article