Strategic planning with risk control of hydrogen supply chains for vehicle use under uncertainty in operating costs: A case study of Spain

2010 ◽  
Vol 35 (13) ◽  
pp. 6836-6852 ◽  
Author(s):  
Nagore Sabio ◽  
Mamdouh Gadalla ◽  
Gonzalo Guillén-Gosálbez ◽  
Laureano Jiménez
Keyword(s):  
Strategic Planning ◽  
Supply Chains ◽  
Risk Control ◽  
Operating Costs ◽  
Hydrogen Supply

Techno-enviro-economic analyses of hydrogen supply chains with an ASEAN case study

2021 ◽  
Author(s):  
Xiaodong Hong ◽  
Vaishali B. Thaore ◽  
Iftekhar A. Karimi ◽  
Shamsuzzaman Farooq ◽  
Xiaonan Wang ◽  
...  
Keyword(s):  
Supply Chains ◽  
Hydrogen Supply ◽  
Economic Analyses

scholarly journals Enabling low-carbon hydrogen supply chains through use of biomass and carbon capture and storage: A Swiss case study

2020 ◽  
Vol 275 ◽  
pp. 115245 ◽  
Author(s):  
Paolo Gabrielli ◽  
Flora Charbonnier ◽  
Annalisa Guidolin ◽  
Marco Mazzotti
Keyword(s):  
Supply Chains ◽  
Carbon Capture ◽  
Carbon Capture And Storage ◽  
Low Carbon ◽  
Hydrogen Supply ◽  
And Storage

scholarly journals Optimal placement design for picking and packing in distribution centers

2021 ◽  
Vol 13 (4) ◽  
pp. 168781402110106
Author(s):  
John Rios ◽  
Rodrigo Linfati ◽  
Daniel Morillo-Torres ◽  
Iván Derpich ◽  
Gustavo Gatica
Keyword(s):  
Optimal Allocation ◽  
Programming Model ◽  
Operating Cost ◽  
Nonlinear Integer Programming ◽  
Operating Costs ◽  
Optimal Placement ◽  
Distribution Centers ◽  
Suitable Space ◽  
Efficient Distribution

An efficient distribution center (DC) is one that receives, stores, picks and packs products into new logistics units and then dispatches them to points of sale at the minimal operating cost. The picking and packing processes represent the highest operating cost of a DC, and both require a suitable space for their operation. An effective coordination between these zones prevents bottlenecks and has a direct impact on the DC’s operational results. In the existing literature, there are no studies that optimize the distribution of the picking and packing areas simultaneously while also reducing operating costs. This article proposes an integer nonlinear integer programming model that minimizes order preparation costs. It does so by predicting customer demand based on historical data and defining the ideal area for picking and packing activities. The model is validated through a real case study of seven clients and fifteen products. It achieves a [Formula: see text] reduction in operating costs when the optimal allocation of the picking and packing areas is made.

scholarly journals Seaports during the COVID-19 Pandemic: The Terminal Operators’ Tactical Responses to Disruptions in Maritime Supply Chains

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4339
Author(s):  
Marta Mańkowska ◽  
Michał Pluciński ◽  
Izabela Kotowska ◽  
Ludmiła Filina-Dawidowicz
Keyword(s):  
Supply Chains ◽  
Global Economy ◽  
Research Study ◽  
Inductive Reasoning ◽  
Main Function ◽  
The Sustainable Development ◽  
Study Results ◽  
Multiple Case ◽  
Tactical Decisions

The world-wide crisis caused by the Coronavirus disease 2019 (COVID-19) pandemic had a significant impact on the global economy functioning and the sustainable development of supply chains. The changes also affected seaports being the key links of maritime supply chains. The purpose of the research study described in this article was to identify the sources and kinds of disruptions observed in various maritime supply chains as a result of the COVID-19 pandemic and their impact on the operations of various types of seaport terminals, namely those serving bulk (universal, specialised) and general cargoes (universal, specialised). An additional purpose was to identify the dependencies between the type of terminal and its main function, and the tactical decisions adopted by the particular terminals. The research was carried out using the multiple-case study method. The study covered some selected port terminals functioning in Polish seaports (Gdańsk, Szczecin, Świnoujście), applying direct, semi-structured in-depth interviews. The analysis of the results was carried out using the inductive reasoning method. The research study has shown that as a result of the COVID-19 pandemic some maritime supply chains ceased to exist, some of them were operating with decreased cargo volumes, while in other cases the transshipment volumes actually rose during the pandemic. Among terminal operators’ tactical responses to disruptions in maritime supply chains, there were pro-active and adaptive measures. Pro-active (offensive) measures included actions taken by an enterprise in order to engage in new maritime supply chains, and even participating in establishing new maritime chains in response to limitations caused by the pandemic. Adaptive (defensive) measures covered actions taken by the port terminals as a consequence of changes in the existing maritime supply chains, caused by the pandemic in the port’s foreland or hinterland. The research study results revealed that the terminals extent of engagement and tactical decisions related to the pandemic were depended on the type of terminal (universal or specialised) and its main function played within a supply chain.

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