Adil Baykasoglu

Verified

Adil verified their affiliation via an institutional email.

Learn more

Verified

Adil verified their affiliation via an institutional email.

Learn more

• Professor
• Professor at Dokuz Eylül University

This paper introduces a new method for calculating weighted Overall Equipment Effectiveness (OEE) by using fuzzy logic. Traditional crisp methods for computing weighted OEE have limitations due to the multiplicative nature of the OEE equation, leading to questionable outcomes. OEE is computed as the product of three key factors -Availability, Perfo...

Purpose In the real estate business, identifying the ideal property for a user poses a difficult task due to the many factors involved in the decision-making process. Moreover, users often struggle to find platforms that facilitate effective communication of their preferences. To tackle this issue, a web-based data-driven recommendation system has...

The bees algorithm (BA) is a novel swarm-based intelligent metaheuristic search algorithm that was proposed by Pham et al. in 2005. It has been applied to several complex optimisation problems successfully. One of the main mechanisms in BA is to direct search agents (bees) to the search sites that were discovered by the best-performing bees (elite...

Glass fiber reinforced polymer (GFRP) composite tubes have become increasingly popular in crashworthiness applications. On the other hand, square section GFRP tubes are prone to damage in a catastrophic failure mode in the early stages of the crushing process. At this point, triggering mechanisms have great potential to ensure deformation in progre...

Doğal afetler sonucunda fiziksel, sosyal, çevresel ve ekonomik kayıplar meydana gelmektedir. Afet yönetimi faaliyetlerinin yetersiz olması ve/veya planlanan faaliyetlerin eksik uygulanması sebebiyle kayıpların arttığı bilinmektedir. Doğal afet gerçekleştikten sonraki ilk 72 saat içinde yapılan müdahale ile can kayıpları azaltılabilmektedir. Bu süre...

The purpose of this paper is to test the performance of the recently proposed weighted superposition attraction-repulsion algorithms (WSA and WSAR) on unconstrained continuous optimization test problems and constrained optimization problems. WSAR is a successor of weighted superposition attraction algorithm (WSA). WSAR is established upon the super...

Conventional parking lots struggle to meet demand, prompting the rise of Fully Automated Parking Systems (FAPS), offering eco-friendly alternatives with advanced technology. However, operational challenges persist, especially in planning and scheduling. Real-time responsiveness necessitates dispatching rules and heuristics. This study comprehensive...

The objective of this study is to find the optimum design configurations for the crashworthiness of functionally graded lattice structure filled aluminum tubes under multiple impact loading conditions. Base strut diameter, draft angle and aspect ratio are considered as filler material design parameters, and the optimal design configurations are sou...

Composite thin‐walled tubes made of glass fiber reinforced plastics (GFRP) are attracting great attention due to their lightweight and outstanding crashworthiness capacity. Implementing triggers to the design of GFRP composite tubes enables a further increase in specific energy absorption while simultaneously reducing peak crushing force. Motivated...

One of the new pre-disaster activities in Türkiye is to locate the neighborhood disaster stations (i.e., containers) that contain emergency relief items like tents, medicines and canned goods so that people can take the relief items inside them. After a disaster, people should reach to these items easily and quickly. Therefore, locating the disaste...

Purpose The purpose of this study is to develop a holistic optimization model for an integrated sustainable fleet planning and closed-loop supply chain (CLSC) network design problem under uncertainty. Design/methodology/approach A novel mixed-integer programming model that is able to consider interactions between vehicle fleet planning and CLSC ne...

Thus far in the available literature, capability-based distributed layout (CBDL) design approaches were only developed under certain environments. Indeed, uncertainties embedded in the machine unavailability (or random machine breakdowns), product demands, and process flow data were not considered by the previous studies to achieve a robust CBDL de...

Geleneksel kısıtlandırılmış parti büyüklüğü belirleme problemi işletmelerde sıklıkla karşılaşılan problemlerden biridir. Ancak, bu problemlerin modellenme aşamasında gerçek hayatta geçerli olabilen pek çok faktör dikkate alınmamaktadır. Bu çalışmada, sipariş üzerine kağıt/karton çanta üretimi yapan bir işletmedeki bütünleşik parti büyüklüğü belirle...

The current study investigates the axial crushing behavior of filament-wound aluminum/carbon fiber reinforced plastic (Al/CFRP) hybrid tubes with circular-hole triggering mechanism. The proposed hybrid design consists of an inner aluminum thin-walled tube and an outer composite winding of three plies having 30°/−30°/90° angles. The diameter, number...

This paper considers the general lot sizing and scheduling problem (GLSP) in single level capacitated environments with sequence dependent item changeovers. The proposed model simultaneously determines the production sequence of multiple items with capacity-constrained dynamic demand and lot size to minimize overall costs. First, a mixed-integer pr...

ClassificationClassification which is used to predict the classes of objects has the disadvantage of ignoring the costsCost incurred in false predictionsPrediction. However, wrong predictionsPrediction can cause different degrees of costsCost. Therefore, cost-sensitiveCost-sensitiveclassificationClassification algorithms are in demand in order to i...

Thus far in the available literature, capability-based facility layout design approaches were developed by only considering equal machine areas, where they are assigned to the pre-specified locations. Based on this motivation, this paper introduces a new unequal-area capability-based facility layout design (UA-CBFLD) problem for the first time in t...

Purpose Various approaches and algorithms have been proposed since the 1950s to solve the assembly line (AL) balancing problem. These methods have established an AL configuration from the beginning. However, a prebalanced AL may have to be rebalanced in real life for many reasons, such as changes in the cycle time, production demand, product featur...

Purpose Usage of learning management systems (LMSs) has become widespread with the disruption of face-to-face educations after the COVID-19 pandemic. There are several software products, usually named as LMS to enable and support distance education. However, selection of a suitable LMS is a complex multiple criteria decision making (MCDM) problem t...

The Lévy distribution, which represents a form of random walk (Lévy flight) consisting of a series of consecutive random steps, has recently been demonstrated to improve the performance of metaheuristic algorithms. Through consecutive random steps, Lévy flight is particularly beneficial for undertaking massive “jump” operations that allow the searc...

E-commerce websites include large volume of online customer data regarding customer preferences. This study puts forward a novel Bayesian methodology to estimate the impact of product attributes on customer satisfaction by analyzing online data, so that product designers and market researchers are facilitated in their decision making processes. Thi...

Fleet planning problems in intermodal transportation represent one of the most important problems in logistics. In addition to the integration of various sub-problems interrelated at different planning levels, i.e., strategic, tactical, and operational, the inclusion of multiple modes, resources, and multiple actors in intermodal transportation sys...

Purpose The purpose of this study is to develop a new parallel metaheuristic algorithm for solving unconstrained continuous optimization problems. Design/methodology/approach The proposed method brings several metaheuristic algorithms together to form a coalition under Weighted Superposition Attraction-Repulsion Algorithm (WSAR) in a parallel comp...

Capability-based machine layout (CB-ML) problem is firstly introduced in this paper. In the conventional machine layout problem, part flow matrix is generated from parts’ machine routes to minimize total part flows. However, defining part flow matrix based on the machines’ routes (instead of processing capability requirements of parts) restricts fa...

This paper recommends a new kind of assembly line rebalancing and worker assignment problem, taking ergonomic risks into account. Assembly line rebalancing problem (ALRBP) occurs when a current line must be rebalanced due to conditions such as changes in demand, production processes, product design, or quality issues. Although there are several res...

In the present study, we proposed a greedy randomized adaptive search procedure (GRASP) for integrated scheduling of dynamic flexible job shops with a novel preventive maintenance policy. In most of the real-life scheduling practices, unexpected and unknown events occur frequently, which necessitates solving operations and maintenance scheduling pr...

Multiple attribute decision-making (MADM) methods are commonly employed to assist decisions for selecting the best alternative according to conflicting criteria in complex decision situations. Although MADM methods have proven to be very useful, in some dynamic decision cases they may cause faulty results due to the “rank reversals” problem. Numero...

Wind energy has attracted remarkable attention in recent years as one of the most important renewable energy sources. However, wind energy production is still a costly process and one of the reasons is production processes which are usually not optimized. The purpose of this paper is to improve the efficiency of spar cap production process as an im...

This study presents a coalition-based parallel metaheuristic algorithm for solving the Permutation Flow Shop Scheduling Problem (PFSP). This novel approach incorporates five different single-solution-based metaheuristic algorithms (SSBMA) (Simulated Annealing Algorithm, Random Search Algorithm, Great Deluge Algorithm, Threshold Accepting Algorithm...

Many decision-making problems in transportation networks can be defined as maximum flow problems. During the last five decades, several efficient solution approaches have been proposed for the deterministic maximum flow problems. On the other hand, arc capacities of networks cannot be precisely defined in many real life settings. These networks are...

Nature-inspired computation has enjoyed a visible position among the soft computational techniques. Flower Pollination Algorithm (FPA), which is known as one of the outstanding algorithms in this domain, has been shown to be promising in numerous publications. FPA is comprised of two main phases, which are referred to as abiotic and biotic pollinat...

Increasing growth rate of emerging countries and potential mass markets have shifted the attention of multinational enterprises (MNEs) to emerging markets. The specific socio-economic structure of emerging markets led MNEs to develop new strategies for innovation. This paper aims to develop a conceptual model that reveals main building blocks of th...

Flower Pollination Algorithm (FPA) is a bio-inspired metaheuristic that simulates pollination behavior of flowers. FPA is introduced to solve global optimization problems. Subsequently, it has been applied to a variety of problems. The present study introduces some new extensions and modifications for FPA. In this respect, first, abiotic pollinatio...

Structural optimization of truss structures under multiple frequency constraints is a highly nonlinear and complex optimization problem with non-convex solution space. The optimization method used to solve mentioned problem is expected to provide a very good balance between solution accuracy and computational cost. In this work, the Weighted Superp...

Weighted superposition attraction algorithm (WSA) is a new generation population-based metaheuristic algorithm, which has been recently proposed to solve real-valued optimization problems. Inspired by the superposition of particles principle in physics, individuals of WSA generate a superposition, which leads other agents (solution vectors). Altern...

Fuzzy cognitive maps (FCMs) are widely used fuzzy modeling tools for handling causal interdependencies in complex systems. In FCMs, system variables (concepts) and degree of interrelationships are quantified by means of fuzzy sets. However, these fuzzy sets are defuzzified and fuzzy singletons are processed in the inference algorithm. Defuzzificati...

In this study, one-dimensional marble plane cutting problem is studied based on the cutting equipment productivity and effective use of marble blocks. Different types of marble planes should be cut from multiple stock sized marble blocks in parallel by using a stone block-cutting machine (gang saw). Marble blocks, which have different dimensions, a...

This paper argues the efficiency enhancement study of a recent meta-heuristic algorithm, WSA, by modifying one of its operators, superposition (target point) determination procedure. The original operator is based on the weighted vector summation and has some potential disadvantages with regard to domain of the decision variables such that determin...

The purpose of this paper is to propose a fuzzy cognitive mapping (FCM)-based systematic approach for building and analyzing problem-solving networks in open innovation and illustrate the use of this approach with an application in a company operating in prepress preparation sector. First, the proposed approach is explained step by step. Then, for...

Şehirlerde hızla artan nüfusun yanında çeşitli ekonomik ve sosyal gelişmeler, araç sayısında ciddi bir artışa neden olmuş ve bu durum, şehirlerde park yeri sorununu önemli bir gündem haline getirmiştir. Özellikle kalabalık şehirlerdeki sınırlı boş alanlar göz önüne alındığında, geniş alanlara ihtiyaç duyan geleneksel otoparklar (açık alan otoparkla...

In this paper, a recently developed swarm based metaheuristic algorithm called weighted superposition attraction (WSA) is implemented for sizing optimization of truss structures first time in literature. The WSA algorithm based on superposition and attracted movement of agents that are observable in many natural systems. The efficiency and robustne...

Dynamic flexible job shop scheduling problem is studied under the events such as new order arrivals, changes in due dates, machine breakdowns, order cancellations, and appearance of urgent orders. This paper presents a constructive algorithm which can solve FJSP and DFJSP with machine capacity constraints and sequence-dependent setup times, and emp...

Failure mode and effects analysis (FMEA) is a prominent engineering technique for eliminating the potential failures emerged from various systems such as products, processes, designs, or systems. In the traditional FMEA, for each risk factor, severity, occurrence, and detectability ratings are multiplied and risk ranking number (RPN) is calculated....

In this paper, a binary integer programming model of an unbiased capability-based distributed layout (UBCB-DL) problem without demand and process flow information is first developed. Then, it is extended to a mixed-integer program for a biased capability-based distributed layout (BCB-DL) problem where the demand information and processing requireme...

Milling is one of the most frequently used machining operations in manufacturing industry. In order to remove cutting stocks economically and effectively, it is typically necessary to employ a multi-pass milling plan. Nevertheless, an optimisation practice is desirable in order to decide the most appropriate cutting plan (cutting speeds and feed ra...

The single seekers society (SSS) algorithm is a recently developed meta-heuristic algorithm for solving complex continuous optimization problems. The aim of this paper is to adapt the SSS algorithm to handle combinatorial optimization problems. As the original SSS algorithm does, the combinatorial SSS algorithm also brings several single-solution b...

Thin-walled tubes have been mostly used in passive vehicle safety systems as crash energy absorber. With the use of additive manufacturing technology, it is possible to produce novel filler materials to further enhance the crashworthiness performance of thin-walled tubes. In this study, optimal designs of novel lattice structure filled square thin-...

In this paper, the energy absorption parameters of aluminum body centered cubic lattice structures filled thin-walled tubes under axial loading are predicted via artificial neural networks (ANNs). Different tube thickness, lattice member diameters and number of lattice unit cells are considered as design variables, the total amount of energy absorp...

In this paper, a fuzzy-stochastic optimization model is developed for an intermodal fleet management system of a large international transportation company. The proposed model integrates various strategic, tactical and operational level decisions simultaneously. Since real-life fleet planning problems may involve different types of uncertainty join...

Due to their unique offerings, bio-inspired algorithms have become popular in problem solving. Flower Pollination Algorithm (FPA), which is relatively a new member of this family, is shown to be one promising algorithm and this optimizer is still open to possible enhancements. One of the reasons that adds to the popularity of FPA is indeed the simp...

Optimizasyon problemlerinin büyük çoğunluğunda, problemin tanımlı olduğu kümenin, parametrelerinin, kısıtlarının veya değişkenlerinin önceden kesin olarak bilindiği ve değişmediği varsayılmaktadır. Ancak gerçek hayatta karşılaşılan problemlerin önemli kısmında önceden kestirilemeyen olaylar problem yapısında değişikliklere sebep olabilmekte ve buna...

Purpose The purpose of this paper is to analyze previous models of the concept of ranking accuracy within the weighted aggregated sum product assessment (WASPAS) method and make necessary refinements. Design/methodology/approach This paper presents a correct combination of the weighted sum model (WSM) and weighted product model (WPM), which is usu...

Weighted Superposition Attraction (WSA) is a swarm based metaheuristic algorithm that is lately proposed for solving continuous optimization problems. Performance of the WSA was comprehensively tested with numerous unconstrained/constrained optimization problems. Due to its reasonable performance on continuous optimization problems we were motivate...

A new multiple attribute decision making (MADM) model was proposed in this paper in order to cope with the temporal performance of alternatives during different time periods. Although dynamic MADM problems are enjoying a more visible position in the literature, majority of the applications deal with combining past and present data by means of aggre...

Optimizasyon problemlerinin büyük çoğunluğunda, problemin tanımlı olduğu kümenin, parametrelerinin, kısıtlarının veya değişkenlerinin önceden kesin olarak bilindiği ve değişmediği varsayılmaktadır. Ancak gerçek hayatta karşılaşılan problemlerin önemli kısmında önceden kestirilemeyen olaylar problem yapısında değişikliklere sebep olabilmekte ve buna...

This paper concerns with a new multiple attribute decision making (MADM) model to cope with temporal performance of alternatives during different time periods. Dynamic MADM problems has grabbed remarkable attention of decision analysis community in recent years. In parallel with the recent advances in information technologies, firms steadily recogn...

Purpose The purpose of this paper is to present how complexity on retail supply chains should be recognized and its relationship with the performance. Different supply chain structures and planning horizons have been analyzed to support practitioners taking action on the short, mid and long terms. Confronted complexity in the supply chain has been...

This paper presents a novel direct solution approach for fully fuzzy transportation problems in which all of the model parameters as well as decision variables are considered as fuzzy numbers. In detail, a fuzzy decoding procedure based on constrained fuzzy arithmetic operations and a fuzzy ranking technique is first introduced for solution of the...

Due to successful applications of revenue management in the airline industry, in recent years, there has been a growing interest to adopt revenue management in make-to-order (MTO) manufacturing systems. Several interrelated decision problems such as order acceptance/rejection, short-term capacity planning, due date assignment, and order scheduling...

Fuzzy clustering has become an important research field in pattern recognition and data analysis. As supporting unsupervised mode of learning, fuzzy clustering brings about unique opportunities to reveal structural relationships in data. Fuzzy c-means clustering is one of the widely preferred clustering algorithms in the literature. However, fuzzy...

The main objective of this study is to investigate the effects of functionally graded thickness (FGT) patterns and cross-sectional shapes (i.e. circular, square and hexagonal) on crashworthiness performance of thin-walled tubes under multiple impact loading angles (0°–30°) by using the nonlinear explicit finite-element (FE) method. In order to show...

This paper proposes a constructive heuristic approach for the assembly line worker assignment and balancing problem (ALWABP). ALWABP arises when the operation time for every task differs according to the worker who executes the task. Since the operation times of tasks vary due to the workers, the problem requires a simultaneous solution to the doub...

Optimization problems have attracted attention of researchers for decades. Commonly, problem related data and problem domain are assumed to be exactly known beforehand and to remain stationary. However, numerous real life optimization problems are dynamic. In practice, unpredictable events like due date changes, arrivals of new jobs or cancellation...

This paper presents a web-based decision support system (DSS) which uses a fuzzy-stochastic mathematical programming based model for strategic and tactical intermodal fleet management. Indeed, several sub-problems such as load planning, fleet sizing and composition, fleet allocation, vehicle inventory control, fleet expansion/reduction and empty ve...

This paper proposes a new type of assembly line worker assignment and balancing problem (ALWABP) which considers ergonomic risks. ALWABP occurs when task times vary according to the assigned worker. Although the operation time of a task is assumed to be fixed in classical assembly lines, it depends on the operator who executes the task in ALWABP. I...

This paper introduces a new metaheuristic, Single Seekers Society (SSS) algorithm, for solving unconstrained and constrained continuous optimization problems. The proposed algorithm aims to simulate the behaviour of a group of people living together, both individually and holistically. The SSS algorithm brings together several single-solution based...

This paper mainly evaluates the previously published fleet planning researches which primarily utilize operations research and computational intelligence based techniques. An intermodal fleet planning framework with a classification scheme is also proposed by considering different problem/modelling characteristics, decision-making levels and multip...

Swarm intelligence-based methods offer notable opportunities in problem solving. Although they do not guarantee optimality, such methods are shown to be promising particularly for non-convex and non-differentiable problem spaces. The present study proposes a simple yet effective swarm intelligence technique that is based on Genetic Algorithm and Pa...

A considerable part of educational systems tends to be online and computer oriented. However, online examination may create some difficulties during the evaluation of student performance. Process mining which arises as a new concept presents various powerful techniques for processing and analyzing different types of data by making use of some advan...

Optimization in dynamic environments is a fast developing research area. Several outstanding metaheuristic algorithms were proposed to solve dynamic optimization problems (DOPs) in the past decade. However, most of the effort is devoted to real-valued DOPs. Although, great majority of real-life problems has discrete and binary spaces, research in b...

Rapid growth in urban population and dramatic increase in vehicle numbers causes not only traffic jam in cities but also serious vehicle parking problem. Especially considering the limited area in highly populated cities, traditional flat systems unable to meet the demand due to large space they need. The need to utilize the scarce real estate spac...

In many optimisation studies, it is assumed that problem related data does not change once the generated solution plan or schedule is currently in use. However, majority of real-life manufacturing problems are time-varying in their nature due to unpredictable events such as changes in lot sizes, fluctuating capacities of manufacturing constraints,...

In the present work, a case study focusing on online and dynamic scheduling of parallel heat treatment furnaces at a real manufacturing company is presented. The problem under consideration in this study involves release times, eligibility constraints, due dates, sequence-dependent setup times due to heating up or cooling down the furnaces, breakdo...

Dynamic Travelling Salesman Problem (DTSP) is a novel type of TSP where the number of cities in the problem domain changes unpredictably. The approaches to handling dynamism in those DTSPs, has been solving the problems as they were static and recreating the models after each change. In this respect, multi-agent based strategies along with intellig...

Particle Swarm Optimization (PSO) is a well-known metaheuristic algorithm mimicking the behaviors of individuals in fish or bird flocks that are seeking for food or better conditions for survival. PSO is first introduced to solve real-valued function optimization problems. Next, it is applied to various types of problems including combinatorial, di...

Fuzzy clustering is one of the most significant research area in pattern recognition and data analysis fields. Fuzzy clustering gives rise to reveal structural relationships in data. In the literature, many clustering methods have been proposed under crisp and fuzzy environments. Among plethora of fuzzy clustering methods which have been proposed s...

Optimization in dynamic environments is a hot research area that has attracted a notable attention in the past decade. It is clear from the dynamic optimization literature that most of the effort is devoted to continuous dynamic optimization problems although majority of the real-life problems are combinatorial. Additionally, in comparison to evol...

In real life manufacturing companies, especially in manual assembly lines, because of the repetitive unfavorable working conditions, some occupational diseases such as, repetitive strain injury, carpal tunnel and joint elbow syndromes occur on operators. The cure of such occupational diseases takes a long time; and this causes workforce and product...

Assembly lines which are not well-designed ergonomically, cause not only lack of productivity, but also occupational diseases of workers. In this study, an Excel-based program is proposed in order to make ergonomic analysis of the working environment and compare several ergonomic risk assessment techniques such as, Quick Exposure Check (QEC), Rapid...

In recent years, competitive market conditions introduce new challenges such as tighter inventory control and shorter response time for warehouses. In this regard, more effective polices and strategies are required when order picking operations are conducted as this process is the most labor-intensive and costly activities in warehouses (almost 55%...

Warehousing is very expensive process conducted almost in every step of the supply chain. Despite many attempts to eliminate inventories and warehousing, it is impossible to completely eliminate warehouses due to their other important functions. On the other hand, competitive market conditions create pressure on warehouses to be more efficient and...

Controlling ergonomic risk level of the manufacturing environment is crucial in order to prevent occupational diseases and productivity loss. Although, massive part of the manufacturing plants in worldwide are composed of assembly lines operated by humans, and there is a need for ergonomic risk analyses in assembly lines, there are limited work in...