113 research outputs found
Real-Time Sensor Networks and Systems for the Industrial IoT: What Next?
The Industrial Internet of Things (Industrial IoT—IIoT) is the emerging core backbone construct for the various cyber-physical systems constituting one of the principal dimensions of the 4th Industrial Revolution [...
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Contract Types, Institutional Distance and Operational Performance: Evidence from Global Trade Flows in the LNG Industry
Supporting Information is available online at https://onlinelibrary.wiley.com/doi/full/10.1111/1467-8551.12672#support-information-section .We would like to express our gratitude to Kpler for granting us access to its database in order to process their data and conduct this research study. The views in this paper are solely the responsibility of the authors and should not be interpreted as reflecting the views of their institutions and organizations.
[Correction added on 7th of November 2022, after first online publication: Figure 1 and hypotheses numbers have been updated in this version.].Copyright © 2022 The Authors. In this study, we examine the relationship between contract types, institutional distance and operational performance in the context of cross-border trade in the liquefied natural gas (LNG) industry. Drawing on the buyer–supplier long-term relationships literature, we argue for a negative link between short-term contractual agreements and operational performance. Further, drawing insights from institutional theory, we contend that a high level of formal and informal institutional distance between the origin (i.e. supplier) and destination (i.e. buyer) countries reduces operational performance. We also argue that formal and informal institutional distance mitigates the negative effect of short-term contracts on operational performance. Finally, we draw on the role of ‘asymmetry in distance’ by examining the direct and moderating effect of both the relevance and direction of formal institutional distance. We test our assumptions using LNG global trade flows from 39 source countries to 44 destination countries over the 2008–2017 period (a total of 17,447 shipments). Our study extends our knowledge on the operational performance implications of buyer–supplier relationships and stresses the important role formal and informal institutional distance plays as a direct and moderating effect on this relationship
Genetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity
International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC (8th . 2019. AlmerÃa, Spain
Quality improvement through product redesign and the learning curve
This paper presents a dynamic programming model for studying the effects of product redesign on the value, cost, and quality control processes in a single product environment. The model provides the optimal redesign policy, that is the optimal depth and the optimal timing for implementing the redesign, so the accumulated net product value can be maximized. The accumulated net product value is used as a measure of product quality, however the model formulation allows for the use of other quality functions as well. The model can be used with different sets of learning rates and cost data. It can be also used with non-uniform learning rates among the different processes, and non-uniform redesign effects on the value, cost, and quality control learning curves. Selective results demonstrate that the early implementation of the optimal redesign level enhances the accumulated net product value.learning curve dynamic programming quality improvement product redesign
Polynomially solvable total tardiness problems: Review and extensions
This paper shows that all polynomially solvable cases of the single machine total tardiness problem center around or are direct extensions of three well known results for that problem. A new polynomially solvable case for the problem is developed as well. It is also shown that two of these well known results for the single machine total tardiness problem are valid for the parallel machine total tardiness problem as well.scheduling single machine parallel machines tardiness polynomial solutions
A note on minimizing the sum of quadratic completion times on twoidentical parallel machines
We consider the problem of minimizing the sum of quadratic completion times on two parallel machines and we discuss the approximation ratio of the generalized shortest processing time (GSPT) priority rule according to which the jobs are sorted in nondecreasing processing time order and the next job on the list is assigned to the earliest available machine. We show that the approximation ratio of the GSPT rule is bounded above by approx. 1.309 and below by approx. 1.290. Extensions to the parallel m-machine problem are also discusse
A survey of simulated annealing applications to operations research problems
This paper surveys the application of simulated annealing (SA) to operations research (OR) problems. It is concluded that SA has been applied to both traditional (like single machine, flowshop and jobshop scheduling, lot sizing, traveling salesman problems) and non-traditional (like graph coloring, number partitioning) OR areas. It is also concluded that SA is quite appropriate when the alternative solution method is based on enumeration. SA usually requires more computational resources in exchange for not being trapped in local optima.simulated annealing scheduling QAP TSP routing facility layout lot sizing
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