A novel multi-stage fuzzy stochastic programming for electricity system structure optimization and planning with energy-water nexus - A case study of Tianjin, China

PurposeThe number of natural and man-made disasters is remarkable and threatened human lives at the time of occurrence and also after that. Therefore, an efficient response following a disaster can eliminate or mitigate the adverse effects. This paper aims to help address those challenges related to humanitarian logistics by considering disaster network design under uncertainty and the management of emergency relief volunteers simultaneously.Design/methodology/approachIn this paper, a robust fuzzy stochastic programming model is proposed for designing a relief commodity supply chain network in a disaster by considering emergency relief volunteers. To demonstrate the practicality of the proposed model, a case study is presented for the 22 districts of Tehran and solved by an exact method.FindingsThe results indicate that there are many parameters affecting the design of a relief commodity supply chain network in a disaster, and also many parameters should be controlled so that, the catastrophe is largely prevented and the lives of many people can be saved by sending the relief commodity on time.Practical implicationsThis model helps decision-makers and authorities to explore optimal location and allocation decisions without using complex optimization algorithms.Originality/valueTo the best of the authors’ knowledge, employee workforce management models have not received adequate attention despite their role in relief and recovery efforts. Hence, the proposed model focuses on the problem of managing employees and designing a disaster logistics network simultaneously. The robust fuzzy stochastic programming method is applied for the first time for controlling the uncertainties in the design of humanitarian relief supply chains.

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EVALUATION OF INFORMATION TIGHTNESS IN ADVANCED MANUFACTURING MODES BASED ON OBJECT-BASED KNOWLEDGE MESH

Journal of Advanced Manufacturing Systems ◽

10.1142/s021968671100217x ◽

2011 ◽

Vol 10 (01) ◽

pp. 215-221

Author(s):

CHAOGAI XUE ◽

LILI DONG

Keyword(s):

Information Transfer ◽

Structure Optimization ◽

Evaluation Process ◽

System Structure ◽

Advanced Manufacturing ◽

Formal Representation ◽

Enterprise Information System ◽

Enterprise Information ◽

Object Based

This paper deals with the evaluation of information tightness in advanced manufacturing modes based on its formal representation. To this end, first, the formal representation approach to advanced manufacturing modes is given, that is, object-based knowledge mesh (OKM) and information transfer relationship mesh (ITRM). Second, to evaluate the information tightness, three indices are proposed. Third, based on the OKM and ITRM, the indices are quantified. And finally, a case study is given to show the evaluation process, which lays a foundation for enterprise information system structure optimization based on information flow.

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A Multi-Stage Stochastic Programming Approach to the Optimal Surveillance and Control of Emerald Ash Borer in Cities

SSRN Electronic Journal ◽

10.2139/ssrn.3802659 ◽

2020 ◽

Author(s):

Eyyüb Y. Kıbış ◽

I. Esra Buyuktahtakin ◽

Robert G. Haight ◽

Najmaddin Akhundov ◽

Kathleen Knight ◽

...

Keyword(s):

Stochastic Programming ◽

Emerald Ash Borer ◽

Programming Approach ◽

Multi Stage ◽

And Control

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A stochastic programming approach for Shelter location and evacuation planning

RAIRO - Operations Research ◽

10.1051/ro/2017046 ◽

2018 ◽

Vol 52 (3) ◽

pp. 779-805 ◽

Cited By ~ 9

Author(s):

Vedat Bayram ◽

Hande Yaman

Keyword(s):

Stochastic Programming ◽

Shortest Paths ◽

Evacuation Planning ◽

Programming Approach ◽

Mean Values ◽

The Road ◽

Traffic Allocation ◽

Evacuation Plan ◽

Allocation Decisions

Shelter location and traffic allocation decisions are critical for an efficient evacuation plan. In this study, we propose a scenario-based two-stage stochastic evacuation planning model that optimally locates shelter sites and that assigns evacuees to nearest shelters and to shortest paths within a tolerance degree to minimize the expected total evacuation time. Our model considers the uncertainty in the evacuation demand and the disruption in the road network and shelter sites. We present a case study for a potential earthquake in Istanbul. We compare the performance of the stochastic programming solutions to solutions based on single scenarios and mean values.

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Son-of-God traditions in the Synoptic Gospels: Ferdinand Hahn's diachronic perspective

HTS Teologiese Studies / Theological Studies ◽

10.4102/hts.v57i1/2.1878 ◽

2001 ◽

Vol 57 (1/2) ◽

Author(s):

Yolanda Dreyer

Keyword(s):

Early Christianity ◽

Synoptic Gospels ◽

Son Of God ◽

Multi Stage ◽

Stage Development ◽

Hellenistic Judaism ◽

Cultural World ◽

Historical Origins

This study makes use of Ferdinand Hahn's insights (with Son of God as case study) to indicate how the naming of Jesus developed in stages. It is shown that the name Son of God was not used by Jesus. It functioned within the context of the cultic activities of early Christianity, was taken over from the surrounding religious, political and cultural world while its referential meaning shifted in the various layers. Hahn focuses on the multi-stage development of the Jesus tradition from an Aramaic "Judaism", through a Hellenistic "Judaism" to a Gaeco-Roman stage. First the possible historical origins of the title Son of God are discussed, after which Hahn's view is taken into consideration.

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