Returned Product Acquisition Pricing by Adaptive Neuro Fuzzy Inference System

In recent years, reverse logistics have become increasingly important for the firms as a both environmental and economical approach. By collecting the returned products, firms realize to recover after kind of activities. In return products collection, due to the fact that each returned products have different functionality, determining the acquisition price of the used products is an important problem. For this reason, a pricing approach that can be used for collecting returned products is proposed in this study. Since the different product models can be exist and the acquisition price can be affected by the new product price, the acquisition price is predicted by the ratio of the new product price to acquisition price. In this study, the acquisition price ratio to new product price is modeled by the adaptive neuro fuzzy inference system and a case study is conducted for the used cell phones collection. Four phone models that have different release dates take into consideration with general appearance and functionality parameters. When the results are examined, the proposed method prediction's is pretty close to the expert view

Predicting the intermingled yarn number of nips and nips stability with neural network models

This study aims at predicting the effects of selected process parameters on nips stability and number of nips by using different artificial intelligence methods. Partially oriented polyester yarn with 283 dtex linear density and different numbers of filaments are intermingled with different speed and pressure levels. The feed forward neural network with multi-hidden layers (ML-FFNN) and general regression neural networks (GRNN) have been selected as artificial intelligence methods. The number of filaments, intermingling speed and pressure values are used as input variables on the artificial neural networks. The effects of number of hidden layers on the ML-FFNN and number of nodes in the hidden layer are investigated. Based on comparative results, the ML-FFNN is found to give better performance (at most 6%) than by GRNN in terms of prediction accuracy on train and test data sets. It can be concluded from this study that the neural networks has great ability to predict intermingling process parameters

Solution of capacitated vehicle routing problem with invasive weed and hybrid algorithms

The vehicle routing problem is widespread in terms of optimization, which is known as being NP-Hard. In this study, the vehicle routing problem with capacity constraints is solved using cost- and time-efficient metaheuristic methods: an invasive weed optimization algorithm, genetic algorithm, savings algorithm, and hybridized variants. These algorithms are tested using known problem sets in the literature. Twenty-four instances evaluate the performance of algorithms from P and five instances from the CMT data set group. The invasive weed algorithm and its hybrid variant with savings and genetic algorithms are used to determine the best methodology regarding time and cost values. The proposed hybrid approach has found optimal P group problem instances with a 2% difference from the best-known solution on average. Similarly, the CMT group problem is solved with about a 10% difference from the best-known solution on average. That the proposed hybrid solutions have a standard deviation of less than 2% on average from BKS indicates that these approaches are consistent

A new approach for mixed model assembly line balancing and worker assignment problem.

TEZ8155Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2010.Kaynakça (s. 71-74) var.xiii, 89 s. : res., çizelge ; 29 cm.In this study, an assembly line was considered which has workforce effect in addition to simple balancing problem. The problem which is defined as assembly line balancing and worker assignment problem, was tested two example problems and was applied a problem been in literature which has 58 operations. The problem was defined for an assembly line which has mixed model, deterministic operation times, known cycle time and multi skill workforce. Analytical approaches were investigated and the problems were solved by integer programming methods. For discovering behaviors of mathematical model were analyzed to scenario analysis under different conditions. Effect of cycle time length and workforce skill numbers were examined by scenario analysis.Bu çalışmada geleneksel montaj hattı dengeleme problemine ek olarak işgücü faktörünün göz önüne alındığı bir montaj hattı düşünülmüştür. Montaj hattı dengeleme ve işgücü atama problemi olarak tanımlanan problem için örnek problemler ve literatürden alınan 58 işlemli bir problem çözülmüştür. Karma modelli, deterministik işlem süreli ve çevrim süresi önceden bilinen montaj hatları için, çok becerili işgücü olması durumu için problem tanımlanmıştır. Analitik çözüm yaklaşımları incelenmiş ve tamsayılı programlama tekniğiyle problemler çözülmüştür. Modelin farklı koşullar altındaki davranışlarının incelenmesi için senaryo analizi yapılmıştır. Çevrim süresinin modele etkisi ve işgücü beceri grup sayısının modele etkisi senaryo analiziyle irdelenmiştir

Geri kazanım opsiyonlu kapalı döngü tedarik zincirlerinde eşgüdümlü üretim envanter dağıtım rotalama problemi.

TEZ11808Tez (Doktora) -- Çukurova Üniversitesi, Adana, 2016.Kaynakça (s. 127-134) var.xiv, 147 s. : tablo ; 29 cm.Bu çalışmada, kapalı döngü tedarik zincirlerinde eşgüdümlü üretim, envanter, dağıtım ve rotalama problemi ele alınmıştır. Ele alınan kapalı döngü tedarik zinciri, geri kazanım ya da imha etme opsiyonlarına sahiptir. Bu çalışmanın ana amacı, kapalı döngü bir tedarik zincirinde üretim, envanter, dağıtım ve rotalama kararlarının koordineli olarak ele alınmasının etkilerini göstermektir. Problem, her bir periyotta hem ileri hem de tersine akıştaki üretim ve envanter etkileşimleri ile dağıtım ve rotalama planlarına karar vermektedir. Problem, karma tamsayılı lineer programlama modeli olarak formüle edilmiş ve optimal olarak çözülmüştür. Yemeklik yağ üreten bir tedarik zincirinden elde edilen veriler vaka analizi olarak kullanılmış ve sonuçlar sunulmuştur. Vaka analizi sonuçlarına göre, kararlar eşgüdümlü olarak verildiğinde, tüm tedarik zincirinin operasyonel maliyetleri yaklaşık yüzde on oranında azalmıştır. Ayrıca, önerilen matematiksel modelin değerlendirilmesinde rastgele test problemleri üretilmiştir. Modele duyarlılık analizi yapılmış ve modeldeki parametre değerlerinin etkisi değerlendirilmiştir. Farklı senaryolar altında (düğüm sayısı ve periyot sayısı gibi) model çalıştırılmış ve CPU süresi ve optimum maliyet değerleri incelenmiştir. Büyük ölçekli problemlerin çözülmesi için tavlama benzetimi tabanlı bir ayrıştırma sezgiseli geliştirilmiştir. Ayrıca, tüm problemler için hesaplamaları yapacak grafik ara yüze sahip bir yazılım geliştirilmiştir. Önerilen modelden elde edilen sonuçlarla önerilen sezgisel ve yeni ürün ve dönen ürün akışlarının sırayla çözüldüğü iki aşamalı yaklaşım sonuçları kıyaslanmıştır.In this study, a coordinated production, inventory, distribution and routing problem in a closed loop supply chain is considered. The closed loop supply chain tackled in this study is capable of both recycling and disposal activities. The primary aim of this study is to investigate the performance of coordinated decisionmaking for production, inventory, distribution and routing in a closed loop supply chain. The problem is dealt with both the production-inventory trade-off and distribution-routing plans at each period on both forward and backward flows. The problem is formulated as a mixed integer linear programming model and solved optimally. The case study for fats oil supply chain is conducted and results are given. According to case study results, the proposed coordinated decision-making reduces operational costs of the overall chain by about ten percent. Furthermore, random test instances are generated for evaluating the mathematical programming model. A comprehensive sensitivity analysis of this model is performed to assess the effect of changing the model parameters’ values. Problems under different scenarios (such as changes in number of nodes and periods) are also run to investiagte CPU time and optimum cost . A decomposition heuristic based on a simulated annealing algorithm is proposed for solving large scale instances. Furthermore, a software with a graphical user interface is developed to automate all calculations for all problem sizes. An extensive comparative study is conducted to compare the results of the mathematical programming model, proposed heuristic and the two stage approach solving forward and backward flows of CLSC respectively

Adaptif Sinir Ağına Dayalı Bulanık Çıkarım Sistemi İle Dönen Ürünlerin Fiyatlandırılması

Tersine lojistik faaliyetleri firmalar için hem çevreci hem de ekonomik bir yaklaşım olarak son yıllarda giderek artan bir öneme sahip olmaktadır. Firmalar, dönen ürünleri toplayarak çeşitli işlemler sonrasında geri kazanım gerçekleştirmektedir. Dönen ürünlerin toplanmasında, her bir dönen ürünün fonksiyonel durumu birbirinden farklı olduğu için kullanılmış ürünü geri alma bedeline karar vermek önemli bir sorundur. Bu nedenle, bu çalışmada dönen ürünlerin toplanmasında kullanılabilecek bir fiyatlandırma yaklaşımı önerilmiştir. Farklı ürün modelleri olabileceğinden ve dönen ürün fiyatının yeni ürün fiyatından etkilenebileceğinden dolayı dönen ürünün fiyatı, yeni ürün fiyatına oranı olarak tahmin edilmiştir. Çalışmada dönen ürünün yeni ürün fiyatına oranı adaptif sinir ağına dayalı bulanık çıkarım sistemi ile modellenmiş ve kullanılmış cep telefonlarının toplanmasında uygulanmıştır. Dört farklı çıkış yılına sahip telefon modelinin genel görünüm ve fonksiyonellik parametreleri göz önüne alınmıştır. Sonuçlar incelendiğinde önerilen yaklaşımın uzman görüşüne oldukça yakın sonuçlar verdiği görülmüştürIn recent years, reverse logistics have become increasingly important for the firms as a both environmental and economical approach. By collecting the returned products, firms realize to recover after kind of activities. In return products collection, due to the fact that each returned products have different functionality, determining the acquisition price of the used products is an important problem. For this reason, a pricing approach that can be used for collecting returned products is proposed in this study. Since the different product models can be exist and the acquisition price can be affected by the new product price, the acquisition price is predicted by the ratio of the new product price to acquisition price. In this study, the acquisition price ratio to new product price is modeled by the adaptive neuro fuzzy inference system and a case study is conducted for the used cell phones collection. Four phone models that have different release dates take into consideration with general appearance and functionality parameters. When the results are examined, the proposed method prediction’s is pretty close to the expert vie

Improving Materials Handling Systems via Simulation Approach for a Woodworking Manufacture Company

Üretim içi malzeme taşıma sistemleri, üretimin hem iş sağlığı ve güvenliğine uygun yürütülmesi hem de sürekliliğinin sağlanması açısından kritik öneme sahiptir. Özellikle yüksek hacim ve ağırlıktaki nesnelerin iş merkezleri arasında transferi oldukça sorunludur. Bu çalışmada, ağaç ürünleri üretimi yapan bir işletmede üretim sahasındaki iş merkezleri arasındaki malzeme taşıma sistemi ele alınmış ve taşıma alternatifleri kesikli olay simülasyonu yaklaşımıyla değerlendirilmiştir. Sonuçlara göre, konveyör sistemlerinin kullanımının istatistiksel olarak anlamlı olduğu görülmüştür. Yatırım kararları göz önüne alındığında da konveyör sistemlerinin kullanımının uzun dönemde daha uygun olduğu görülmüştürEnsuring both of the production sustainability and working with suitable conditions to occupational health and safety makes in-bound material handling systems critically important. Especially, transferring objects having high volume and weight between work centers causes a lot of problems. In this study, the material handling system between the work centers on a production site for a woodworking manufacturer is considered and the transportation alternatives are evaluated via discrete event simulation approach. According to results, using conveyor systems is found statistically significant. When investment costs are considered, using conveyor systems are more suitable in long ter

Differential evolution based meta heuristic algorithm for dynamic continuous berth allocation problem

WOS: 000393539100061In this study, a new solution method based on differential evolution algorithm is proposed for solving Dynamic Berth Allocation Problem (DBAP). Continuous type of this problem which deals with continuous wharf space is considered. Differential evolution algorithm, a meta-heuristic approach, is a type of evolutionary algorithm that is powerful on continuous space problems. In determining the optimal values for this meta-heuristic approach, a statistical analysis is conducted. The test problems generated randomly are used to evaluate the algorithm and the schedules generated by the algorithm are compared with that obtained by other meta-heuristics initials from literature, and analyzed. The results show that the proposed method solves test problems and achieves optimal solutions. (C) 2016 Elsevier Inc. All rights reserved.Cukurova University Scientific Research Projects (BAP)Cukurova University [MMF2013BAP15]The present study is supported by Cukurova University Scientific Research Projects (BAP) (Project number: MMF2013BAP15)

The Type-2 Q-rung Orthopair CoCoSo method for Workplace Design Problems on the Metaverse

The development of technology is changing and transforming business models in the production and service sectors around the world. Especially in this age when the fourth industrial revolution is effective with different instruments such as artificial intelligence, internet of things, and cyber physical systems, the necessity of physical presence of people in the workplaces is gradually decreasing. Like many things developed in the virtual world, the virtual arrangement of workplaces is a very innovative undertaking. It is clear that the advantage of time and cost are the main reasons for the positive reception of the idea of workplace design in the metaverse environment. In this article, the criteria for workplace design in the metaverse environment of a company operating in the IT sector were examined and alternative metaverse platforms for workplace design using these criteria were evaluated. CoCoSo method based on the Interval Type-2 q-rung orthopair fuzzy sets is used in making the evaluations. Among the 6 criteria seen as important in the study, privacy and security, size and scale, and functionality were the three most important criteria. Among the alternative platforms evaluated, Rooom and Voxels are the first two platforms to be preferred

Investigation of Effects of Intermingling Process on Structural Properties and Air Permeability of Knitted Fabrics

Hava geçirgenliği, kumaşların yüzey özellikleri ve yapısal parametreleri ile yakından ilgili önemli bir termal konfor parametresidir. Puntalama işlemi, basınçlı hava ile karmaşıklık vererek filamentlerin birbirlerine tutunmalarını sağlar. İplik yapısında meydana gelen bu değişim, kumaşın ilmek özelliklerini, gözenek yapısını dolayısıyla hava geçirgenliğini değiştirmektedir. Yapılan çalışma kapsamında, farklı punta sayılarına sahip polyester-POY (Partially Oriented Yarn) ipliklerden suprem kumaşlar örülmüştür. Örülen kumaşların yapısal özellikleri ve hava geçirgenlik seviyeleri test edilmiş, değişen punta sayılarının bu özellikler üzerindeki etkileri istatistiksel olarak analiz edilmiştir. Sonuç olarak, puntalama işleminin kumaş yapısında meydana getirdiği değişikliklerin hava geçirgenlik seviyesini düşürecek yönde etki ettiği görülmüştür.Air permeability that closely related to structural parameters and surface properties of fabrics is an important thermal comfort parameter. Intermingling process gives cohesion to the filaments with pressured air. Loop characteristics, porous structure and also air permeability of fabric are changed by the effects of intermingling process. In this study, single jersey knitted fabrics were produced by using polyester-POY (Partially Oriented Yarn) yarns having different number of nips. The structural properties and air permeability of the knitted fabric samples were measured and the effects of changing number of nips on these properties were statistically analyzed. As a result, the changes in the structure of fabrics arised from the intermingling process have an effect to reduce air permeability of fabrics