https://hull-repository.worktribe.com/preview/855359/IJAR-2018.pdf

A review of applications of fuzzy sets to safety and reliability engineering

In this work we consider the following hazmat transportation network design problem. A given set of hazmat shipments has to be shipped over a road transportation network in order to transport a given amount of hazardous materials from specific origin points to specific destination points, and we assume there are regional and local government authorities that want to regulate the hazmat transportations by imposing restrictions on the amount of hazmat traffic over the network links. In particular, the regional authority aims to minimize the total
transport risk induced over the entire region in which the transportation network is
embedded, while local authorities want the risk over their local jurisdictions to be the lowest possible, forcing the regional authority to assure also risk equity. We provide a linear bilevel programming formulation for this hazmat transportation network design problem that takes into account both total risk minimization and risk equity. We transform the bilevel model into a single-level mixed integer linear program by replacing the second level (follower) problem by its KKT conditions and by linearizing the complementary constraints, and then we solve the MIP problem with a commercial optimization solver. The optimal solution may not be
stable, and we provide an approach for testing its stability and for evaluating the range of the its solution values when it is not stable. Moreover, since the bilevel model is difficult to be solved optimally and its optimal solution may not be stable, we provide a heuristic algorithm for the bilevel model able to always find a stable solution. The proposed bilevel model and
heuristic algorithm are experimented on real scenarios of an Italian regional network.

A Bilevel flow model for HazMat transportation network design

Evaluating the risk of failure modes with a hybrid MCDM model under interval-valued intuitionistic fuzzy environments

An Extension to Fuzzy Developed Failure Mode and Effects Analysis (FDFMEA) Application for Aircraft Landing System

A novel failure mode and effect analysis model for machine tool risk analysis

Classical and fuzzy FMEA risk analysis in a sterilization unit

This paper presents a combinatorial problem called a pick-up routing problem with a three-dimensional (3D-PRP) loading constraint, clustered backhauls at the operational level, and train loading at the tactical level for an intermodal transportation network. A two-phase approach, called clustering first, packing-routing second, is proposed for use during the first stage. The clustering of backhauls is carried out using the k-means algorithm. A hybrid approach is provided, which combines the packing of orders by first solving a 3D loading problem for each cluster using machine learning with a best-fit-first strategy, with routing using a genetic algorithm. During the second stage, the train-loading problem is solved using a mixed integer programming approach to minimise the total costs by incorporating various cost types, in which detention and demurrage costs are taken into account. All solution approaches are computationally evaluated on real-world data provided by an international logistics firm and new randomly generated instances. Comparisons are carried out using both exact solution methods and heuristic approaches, and the proposed approach was shown to be more effective for real-world problems.

Transportation problems for intermodal networks: Mathematical models, exact and heuristic algorithms, and machine learning

In this paper, transportation problem of hazardous materials (hazmat) by various transportation modes is considered. Accident probabilities related to human and ecologic risks are assumed for each ...

Transportation mode choice using fault tree analysis and mathematical modeling approach

B lood banking is important for the healthcare system and blood products are vital needed for medical treatment, surgeries, and organ transplants. Delivery time becomes vital when a hospital needs a blood product emergently. Therefore, delivering blood products in the safest and fastest way is the main responsibility of blood banks. In this study, we aim to minimize total delivery times between depots and demand points over a time period.  We propose a two-stage mathematical model to determine both location and vehicle delivery routes. This problem is defined as Location and Routing problem for blood bank operations. This study also investigates the effect of distributing blood products among multi-compartment along with routing decisions. The proposed models are tested on a real-world case data in order to demonstrate their effectiveness in producing optimal solutions. By the results the approach can minimize both delivery time and total cost. Furthermore, a computer program with a graphical user interface is developed to implement the proposed approach for different data sets.

/pdf/location-and-multi-compartment-capacitated-vehicle-routing-2i84cszpe4.pdf

Location and Multi-Compartment Capacitated Vehicle Routing Problem for Blood Banking System

Dorduncu Sanayi Devrimi (Endustri 4.0) tum sektorler icin yeni bir cagdir ve akilli tesislere gecistir. Bu calismada, bir lojistik firmasinda Endustri 4.0 yaklasimi; tasimacilik, depolama, yukleme/bosaltma ve bilgi hizmetleri birimlerinde incelenmistir. Bu yaklasimin amaci, Endustri 4.0’ in ilkelerini bu hizmet birimlerinde degerlendirmektir. Calismada, bu konulara odaklanan bir literatur calismasi sunulmustur ve bu alanda lojistik firmalarini tasarlamak icin gerekli temel ilkelere karar verilmistir. Endustri 4.0’a gecis icin onemli olan otonom tasima, otonom stok yonetimi, 3D depolar, kuresel kaynak planlama ve gercek zamanli rotalama gibi kriterlerin onceliklendirilmesi icin bir bulanik yontem kullanilmistir ve yontem, gecis icin gereklilikleri anlamaya yardimci olmaktadir. Ayrica, mevcut uygulamalar, firsatlar ve oneriler, lojistik firmasi icin sunulmustur.

/pdf/the-transition-to-industry-4-0-in-one-of-the-turkish-1gomv7km7q.pdf

The transition to industry 4.0 in one of the turkish logistics company

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