Scopus İndeksli Yayınlar Koleksiyonu

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Citation - WoS: 18
Citation - Scopus: 22
A bi-objective mathematical model for product allocation in block stacking warehouses
(WILEY, 2018-01-09) Omer Ozturkoglu; Ozturkoglu, Omer
Put-away and picking operations in warehouses play a critical role in determining operating costs and customer response time. While the place where products are put away has an important effect on picking efficiency due to accessibility it also affects space usage which is critical for space availability and space costs. Hence this study focuses on put-away operations in pallet-in pallet-out block stacking warehouses. We develop a unique bi-objective mathematical model and a constructive heuristic algorithm to allocate products to storage lanes while considering two objectives simultaneously: minimizing total travel distance and maximizing average storage usage. We test our model and heuristic through a real company case study and randomly generated large-sized problem instances. We show that the model and heuristic offer better storage usage with reduced travel distance than the company's approach when the two objectives have equal weight. We also present a set of nondominated solutions for each problem instance. We present that the heuristic seems beneficial for the warehouse industry due to its short run time and effective solutions.
Citation - WoS: 2
Citation - Scopus: 4
A Comprehensive Analysis of Data Augmentation Methods for Speech Emotion Recognition
(Institute of Electrical and Electronics Engineers Inc., 2025) Umut Avci; Avci, Umut
The limited availability of labeled emotional speech data remains a significant challenge in the development of robust speech emotion recognition systems. This paper presents a comprehensive investigation of the effectiveness of diverse data augmentation strategies for enhancing emotion recognition performance. Three different data augmentation categories were examined: audio-based transformations image-based modifications and feature-level synthesis. Seventeen transformations were used in audio-based data augmentation to change the time and frequency content of the raw audio signal. Eight transformations such as shifting rotating and zooming were applied to the spectrogram images for image-based data augmentation. The SpecAugment method was also used to transform the spectrograms into versions with masked time and frequency axes. In feature-space-based approaches new feature vectors were generated using five oversampling algorithms and a generative adversarial network. Experimental results from the EMO-DB and IEMOCAP datasets demonstrate that the data augmentation approaches enhance emotion classification performance by up to six percent. Empirical evidence indicates that training sets augmented through combinations of audio-based transformations yield the highest performance gains. In contrast the GAN-based approach fails to improve the classification performance. © 2025 Elsevier B.V. All rights reserved.
Citation - WoS: 3
Citation - Scopus: 5
A copula-based BRDF model
(Blackwell Publishing Ltd, 2010-09) Aydin Öztürk; Murat Kurt; Ahmet Bilgili; Kurt, Murat; Bilgili, Ahmet; Ozturk, Aydin
In this paper we introduce a novel approach for modeling surface reflection. We focus on using a family of probability distributions called Archimedean copulas as BRDF models. The Archimedean representation has an attractive property in that the multivariate distributions are characterized by their marginal distributions through a single univariate function only. It is shown that the proposed model meets the reciprocity property of reflection. Based on measured BRDF data we demonstrate that the proposed approach provides a good approximation to BRDF. Empirical comparisons are made with some classically used BRDF models. © 2010 The Eurographics Association and Blackwell Publishing Ltd. © 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 1
A day-ahead EMS for transformer aging mitigation in distribution systems via coordinated PV-BESS inverter control under dynamic thermal constraint
(ELSEVIER SCIENCE SA, 2026-01) Sezai Polat; Emrah Biyik; Hacer Sekerci Oztura; Oztura, Hacer Sekerci; Şekerci Öztura, Hacer; Polat, Sezai; Biyik, Emrah
This paper proposes a novel day-ahead energy management system (EMS) that integrates dynamic thermal rating (DTR) of distribution transformers into the co-optimization of active and reactive power flows from photovoltaic (PV) and battery energy storage systems (BESS). The model comprehensively incorporates inverter and battery degradation costs transformer insulation aging and inverter losses while respecting operational and thermal constraints through both soft and hard constraint formulations. Simulations are performed on a modified IEEE 33-bus distribution system under three operational scenarios. Results demonstrate that aging-related costs can be reduced by up to 78 % through the inclusion of aging cost as a soft constraint and up to 85 % via the enforcement of hard hot-spot temperature (HST) constraints-without the need for transformer or BESS capacity increases. In comparison increasing the BESS capacity from 750 kWh to 1250 kWh yields a 2.4 % decrease in operational cost and 21 % reduction in aging cost. Increasing the transformer capacity from 3000 kVA to 4000 kVA further reduces aging cost by 96 % and operational cost by 5.8 % albeit at significant capital expenditure. The proposed DTR-aware EMS allows for safe transformer operation beyond nominal ratings enabling deferred infrastructure upgrades while maintaining system reliability and economic efficiency.
Citation - WoS: 34
Citation - Scopus: 41
A General BRDF Representation Based on Tensor Decomposition
(WILEY, 2011-10-17) Ahmet Bilgili; Aydin Ozturk; Murat Kurt; Kurt, Murat; Bilgili, Ahmet; Öztürk, Aydin
Generating photo-realistic images through Monte Carlo rendering requires efficient representation of lightsurface interaction and techniques for importance sampling. Various models with good representation abilities have been developed but only a few of them have their importance sampling procedure. In this paper we propose a method which provides a good bidirectional reflectance distribution function (BRDF) representation and efficient importance sampling procedure. Our method is based on representing BRDF as a function of tensor products. Four-dimensional measured BRDF tensor data are factorized using Tucker decomposition. A large data set is used for comparing the proposed BRDF model with a number of well-known BRDF models. It is shown that the underlying model provides good approximation to BRDFs.
Citation - WoS: 6
Citation - Scopus: 8
A goal programming approach to lean production system implementation
(Taylor and Francis Ltd., 2022-03-11) Sadik Serhat Karakütük; Mustafa Arslan Ornek; Ornek, M. Arslan; Karakutuk, S. Serhat
Companies use different production policies to ensure customer demands are satisfied in time. To track the performance of production policies some important Key Performance Indicators related to production control and management are On-Time Delivery (OTD) machine or line productivity (OEE–Overall Equipment Efficiency) optimization of inventory levels between workstations (WIP) customer satisfaction i.e. prioritization of customer orders according to requirements of the customer and backlog minimization. In this study a real-life production management problem is described modelled and solved to improve customer delivery rate and to plan manufacturing orders using lean production tools. Currently the Make-to-Stock policy is used for semi-finished materials. The problems encountered are low customer service level high level of WIP between operations and efficiency losses. Therefore the goal of this study is to increase efficiency (OTD OEE and customer satisfaction) by minimizing setup time decreasing WIP by minimizing earliness backlog quantity level and improving service level by minimizing lateness of orders. Since these goals contradict each other we propose a multi-objective mathematical formulation with a setup carryover strategy. Then we formulate a Goal Programming (GP) model and solve it by using different GP variants and the normalization method. Finally we discuss numerical results and provide our final remarks and conclusions. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 9
Citation - Scopus: 11
A Joint Evaluation of Streamflow Drought and Standard Precipitation Indices in Aegean Region- Turkey
(SPRINGER BASEL AG, 2023-11-23) Ayse Gulmez; Denizhan Mersin; Babak Vaheddoost; Mir Jafar Sadegh Safari; Gokmen Tayfur; Tayfur, Gokmen; Vaheddoost, Babak; Safari, Mir Jafar Sadegh; Mersin, Denizhan; Gulmez, Ayse
Water is an invaluable substance that ensures the life cycle and causes hydrologic events worldwide. Water deficit also known as drought is a naturally occurring disaster that affects the hydrometeorologic and/or climatic responses in time and space. In this study the meteorologic and hydrologic droughts in Buyuk Menderes Kucuk Menderes and Gediz basins in Turkey are investigated. The streamflow drought index (SDI) and standard precipitation index (SPI) are used considering different time windows. To achieve this the monthly streamflow at Cicekli-Nif Besdegirmenler-Dandalas Bebekler-Rahmanlar and Kocarli-Koprubasi hydrometric stations together with monthly precipitation at 14 meteorologic stations during 1973-2020 (47 years) are used. The SDI and SPI with 1 3 6 and 12 months moving average are then used to express the association between the meteorologic and hydrologic droughts in the basin. Results showed that the SDI depicts no abnormal situations while the SPI rates in the 1980s and 2010s indicated severe droughts. It was concluded that the inner parts of the basins are prone to frequent droughts and there is a concordance between SPI and SDI patterns at the basin level. However minor discrepancies between SPI and SDI do exist and probably originated from temporal delays and water abstraction.
Citation - WoS: 62
Citation - Scopus: 72
A local-best harmony search algorithm with dynamic subpopulations
(TAYLOR & FRANCIS LTD, 2010-02) Quan-Ke Pan; P. N. Suganthan; J. J. Liang; M. Fatih Tasgetiren; Liang, J. J.; Suganthan, P. N.; Tasgetiren, M. Fatih; Pan, Quan-Ke
This article presents a local-best harmony search algorithm with dynamic subpopulations (DLHS) for solving the bound-constrained continuous optimization problems. Unlike existing harmony search algorithms the DLHS algorithm divides the whole harmony memory (HM) into many small-sized sub-HMs and the evolution is performed in each sub-HM independently. To maintain the diversity of the population and to improve the accuracy of the final solution information exchange among the sub-HMs is achieved by using a periodic regrouping schedule. Furthermore a novel harmony improvisation scheme is employed to benefit from good information captured in the local best harmony vector. In addition an adaptive strategy is developed to adjust the parameters to suit the particular problems or the particular phases of search process. Extensive computational simulations and comparisons are carried out by employing a set of 16 benchmark problems from the literature. The computational results show that overall the proposed DLHS algorithm is more effective or at least competitive in finding near-optimal solutions compared with state-of-the-art harmony search variants.
Citation - WoS: 10
Citation - Scopus: 17
A manufacturing-oriented model for evaluating the satisfaction of workers - Evidence from Turkey
(ELSEVIER, 2016-07) Omer Ozturkoglu; Ebru E. Saygili; Yucel Ozturkoglu; Ozturkoglu, Yucel; Saygili, Ebru E.; Ozturkoglu, Omer
Job satisfaction in terms of worker's satisfaction is one of the intensively studied areas in human resource and management. However there is little information available on how ergonomics and the manufacturing environment affect job satisfaction. This study analyzes the extent of the relationship between job satisfaction and work and workplace related conditions. A conceptual model is proposed to evaluate job satisfaction that considers 34 elements in four categories: manufacturing systems facility design safety and ergonomics and human resources and management. A survey of 169 blue-collar workers working in the automotive industry was conducted to investigate the applicability of the model. A comprehensive exploratory factor analysis was used to determine inter-related elements their underlying factors and their effects on job satisfaction. The analysis revealed 6 factors with 18 related elements. From a multi linear regression analysis we develop a job satisfaction model built on factors of human resource policies safety ergonomics air quality thermal comfort and disturbing equipment. The results reveal that ergonomics plays the most important role in workers' satisfaction for the respondent Turkish automotive workers. In contrast human resource policies seem not play a critical role in job satisfaction because of higher standards in automotive industry compared to other industries in Turkey. (C) 2016 Elsevier B.V. All rights reserved.
Citation - WoS: 12
Citation - Scopus: 13
A methodology to determine appropriate facade aperture sizes considering comfort and performance criteria: A primary school classroom case
(SAGE PUBLICATIONS LTD, 2022-03-26) Yigit Yilmaz; Kenan Eren Sansal; Mine Ascigil-Dincer; Sinem Kultur; Sezin Hatice Tanriover; Kültür, Sinem; Yılmaz, Yiğit; Şansal, Kenan Eren; Tanrıöver, Sezin Hatice; Aşcıgil-Dincer, Mine
School environments have a profound effect on pupils. The building envelope particularly the facade has a significant role in determining thermal visual acoustic comfort energy usage and life-cycle cost as it regulates the relationship between the exterior and the interior. Nonetheless there is a lack of a multi-perspective approach in the literature assessing the facade as the key feature for achieving the comfort and performance criteria. Therefore this paper aims at proposing a methodology to determine appropriate facade aperture sizes through examining a primary school classroom case. For the comfort and performance analyses a typical Turkish primary school classroom was modelled. The aperture size was assumed to vary for the window to wall ratio from 28.54% to 71.34% with seven options. Analysis results revealed that aperture orientation was more important than its size. The smallest aperture was found to be better for visual acoustic and thermal comfort. The heating setback strategy appeared to be an effective parameter for thermal comfort as much as the aperture size. A multi-criteria decision-making method modified weighted sum model was used to assess the results to decide on the appropriate option and also present a methodology that can be used in different cases.
Citation - WoS: 14
Citation - Scopus: 18
A Multi-Objective Harmony Search Algorithm for Sustainable Design of Floating Settlements
(MDPI AG, 2016-07-30) Cemre Cubukcuoglu; Ioannis Chatzikonstantinou; Mehmet Fatih Tasgetiren; I. Sevil Sariyildiz; Quan-Ke Pan; Chatzikonstantinou, Ioannis; Tasgetiren, Mehmet Fatih; Sariyildiz, I. Sevil; Cubukcuoglu, Cemre; Pan, Quan-Ke
This paper is concerned with the application of computational intelligence techniques to the conceptual design and development of a large-scale floating settlement. The settlement in question is a design for the area of Urla which is a rural touristic region located on the west coast of Turkey near the metropolis of Izmir. The problem at hand includes both engineering and architectural aspects that need to be addressed in a comprehensive manner. We thus adapt the view as a multi-objective constrained real-parameter optimization problem. Specifically we consider three objectives which are conflicting. The first one aims at maximizing accessibility of urban functions such as housing and public spaces as well as special functions such as a marina for yachts and a yacht club. The second one aims at ensuring the wind protection of the general areas of the settlement by adequately placing them in between neighboring land masses. The third one aims at maximizing visibility of the settlement from external observation points so as to maximize the exposure of the settlement. To address this complex multi-objective optimization problem and identify lucrative alternative design solutions a multi-objective harmony search algorithm (MOHS) is developed and applied in this paper. When compared to the Differential Evolution algorithm developed for the problem in the literature we demonstrate that MOHS achieves competitive or slightly better performance in terms of hyper volume calculation and gives promising results when the Pareto front approximation is examined.
A new electronically tunable phase shifter employing current-controlled current conveyors
(ELSEVIER GMBH URBAN & FISCHER VERLAG, 2008-03) Sinem Oztayfun; Selcuk Kilinc; Adem Celebi; Ugur Cam
A new canonical current-mode (CM) filter topology is presented. It realizes first-order allpass filtering functions using two dual-output current-controlled cur-rent conveyors (DO-CCCII) and a single capacitor. The topology gives both inverting and non-inverting types of these filters. Owing to electronically tunability properties of the CCCII phase response of the circuit can be controlled by an external control current. Realization of the allpass filter imposes no matching condition. All outputs of the filters exhibit high output impedances so that this property makes the circuits very attractive from the viewpoint of cascading in current mode. The theoretical results are verified with PSPICE simulations using a BIT realization of CCCII. (c) 2007 Elsevier GmbH. All rights reserved.
Citation - WoS: 11
Citation - Scopus: 18
A New Holistic Conceptual Framework for Leanness Assessment
(RAM ARTI PUBL, 2020-08-01) Cansu Tayaksi; Muhittin Sagnak; Yigit Kazancoglu; Tayaksi, Cansu; Sagnak, Muhittin; Kazancoglu, Yigit
Lean principles aiming at eliminating waste and increasing efficiency at a company take their roots from the initiatives of Taiichi Ohno. After the implementation of the principles at the Toyota Motor Company for the first time businesses started to discover the benefits of lean implementation in terms of efficiency increase. As the adaptation of lean into the manufacturing sector is continuing the necessity of assessing the level of leanness at the firm-level maintains its importance. Taking systems approach as a basis the lean performance of an organization should be assessed as a whole. Therefore we propose a holistic leanness assessment framework which encapsulates various dimensions of the leanness assessment and we identify the importance and causal relationships between the sub-criteria. In order to identify the importance and causal relationships between the sub-criteria we used fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL). Our findings show that the most influencing factor in the cause group is 'technology and product design' which indicates the companies' necessity to focus on Industry 4.0 during their operations. The results also illustrate that the most influenced factor in the effect group is 'productivity' in which companies can investigate strategic competitive advantages. The design of a holistic framework and the implementation of fuzzy DEMATEL offers a way to identify the importance and the causal relationships between the sub-criteria. With the help of a case study conducted in the plastics industry of Turkey we offer managerial implications that could help managers to implement the proposed structural leanness assessment framework.
Citation - WoS: 18
Citation - Scopus: 18
A Parametric Study of a Piston-Prop Aircraft Engine Using Exergy and Exergoeconomic Analysis Methods
(TAYLOR & FRANCIS INC, 2014-09-16) Onder Altuntas; T. Hikmet Karakoc; Arif Hepbasli; Altuntas, Onder; Hepbasli, Arif; Karakoc, T. Hikmet
In this study exergetic and exergoeconomic analysis methods are applied to a four-cylinder spark ignition (SI) naturally aspirated and air-cooled piston-prop aircraft engine in the cruise phase of flight operations. The duration of cruise is selected to be 1 h. Three parameters altitude rated power setting (PS) and air-to-fuel ratio (AF) are varied by the calculation of the max-min values of exergy analysis. Based on the results of energy analysis the values for the maximum energy efficiency and fuel consumption flow rate are calculated to be 21.73% and 28.02 kg/h respectively at 1000-m altitude and 75% PS. The results of exergy analysis indicate that all exergetic values vary from 65% to 75% PS while this increase is not seen in exergoeconomic analysis. While the maximum exergy input rate is obtained to be 405.60 kW exergy efficiency has the minimum value with 14.43% and exergy destruction rate has the maximum value with 168.48 kW. These values are achieved at 3000-m altitude and 18 AFs. The maximum average exergy cost of the fuel is calculated to be 130.77 $/GJ at 1000-m altitude 13 AF ratios and 65% PS. At this point while the minimum cost rate associated with the exergy destruction is obtained to be 40.29 $/h the maximum exergoeconomic factor is found to be 19.98%.
Citation - WoS: 10
Citation - Scopus: 12
A practical method for isolation of phenolic compounds from black carrot utilizing pressurized water extraction with in-site particle generation in hot air assistance
(ELSEVIER SCIENCE BV, 2017-02) Ruhan Askin Uzel; Uzel, Ruhan Askin; Aşkin Uzel, Ruhan
Anthocyanins and related phenolic compounds can be extracted from highly pigmented garden vegetables and their by-products using subcritical water with or without a secondary co-solvent ethanol. Carrot being one of the richest vegetables for its natural components is well known for its high phenolic content. The present study is concerned with the study of bioactive compound profile of black carrot. Extracted phenolic compounds were recovered in powdered form by establishing a novel system capable of doing subcritical water extraction along with powdered particle production. Pressurized water extraction was carried out at 10 and 20 MPa and at temperatures ranging from 40 to 100 degrees C. The extraction efficiencies in terms of anthocyanin recovery were compared with respect to the extraction parameters employed and the product was fed to air assisted particle formation system to investigate the process functions the effect of temperature and pressure on the resultant particle as well. (C) 2016 Elsevier B.V. All rights reserved.
Citation - WoS: 8
Citation - Scopus: 11
A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19
(Emerald Publishing, 2022-12-19) Melisa Ozbiltekin-Pala; Aydın Koçak; Yigit Kazancoglu; Ozbiltekin-Pala, Melisa; Kocak, Aydin; Kazancoglu, Yigit
Purpose: COVID-19 is a global event affecting supply chain operations and human health. With COVID-19 many issues in business models business processes and supply chains especially in the manufacturing industry have had to change. The ability to analyze supply chain performances and ensure circularity in supply chains has become one of the factors whose importance has increased rapidly with COVID-19. Therefore it aims to determine which supply chain performance criteria come to the fore for the company under consideration to accelerate the transformation into high performance and circularity in supply chains. Design/methodology/approach: In this study a new circular-SCOR model is proposed and 17 supply chain performance measurement criteria are prioritized for a manufacturing company in the context of circular economy principles during COVID-19 by using stepwise weight assessment ratio analysis and analytical hierarchy process method separately. Findings: As a result for both methods in the case study discussed the demand fulfillment rate is determined as the most prominent criterion in line with the circular economy principles in the COVID-19 period in manufacturing supply chains. Originality/value: It is expected that this study will contribute to managers and policy makers as it addresses the “new normal” that started after COVID-19 and the criteria to be considered in supply chain performance measurement and emphasizes the need to adopt circular supply chains especially in manufacturing industries. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 5
Citation - Scopus: 4
A Reduced Order Modeling Methodology for Steam Turbine Clearance Control Design
(American Society of Mechanical Engineers (ASME) infocentral@asme.org, 2017-04-11) Emrah Biyik; Fernando Javier D'Amato; Arun K. Subramaniyan; Changjie Sun; Subramaniyan, Arun; Sun, Changjie; Biyik, Emrah; D'Amato, Fernando J.
Finite element models (FEMs) are extensively used in the design optimization of utility scale steam turbines. As an example by simulating multiple startup scenarios of steam power plants engineers can obtain turbine designs that minimize material utilization and at the same time avoid the damaging effects of large thermal stresses or rubs between rotating and stationary parts. Unfortunately FEMs are computationally expensive and only a limited amount of simulations can be afforded to get the final design. For this reason numerous model reduction techniques have been developed to reduce the size of the original model without a significant loss of accuracy. When the models are nonlinear as is the case for steam turbine FEMs model reduction techniques are relatively scarce and their effectiveness becomes application dependent. Although there is an abundant literature on model reduction for nonlinear systems many of these techniques become impractical when applied to a realistic industrial problem. This paper focuses on a class of nonlinear FEM characteristic of thermo-elastic problems with large temperature excursions. A brief overview of popular model reduction techniques is presented along with a detailed description of the computational challenges faced when applying them to a realistic problem. The main contribution of this work is a set of modifications to existing methods to increase their computational efficiency. The methodology is demonstrated on a steam turbine model achieving a model size reduction by four orders of magnitude with only 4% loss of accuracy with respect to the full order FEMs. © 2017 Elsevier B.V. All rights reserved.
A serial inventory system with lead-time-dependent backordering: A reduced-state approximation
(TAYLOR & FRANCIS INC, 2022-05-04) Emre Berk; Ayhan Ozgur Toy
We study a serial inventory system where the external customers may have a maximum time that they would be willing to wait for delivery in cases of stock-out and the demand would be lost if the remaining delivery lead time of the next available item is longer. This lead-time-dependent backordering behavior subsumes the models of partial backordering regardless of the wait that a customer would experience. In the inventory literature this behavior has only been analyzed in single-location settings. We study this behavior in a multi-stage setting. We consider continuous review (S - 1 S) policies at all stages facing external Poisson demands. Using the method of supplementary variables we define the stochastic process representing the inventory system and obtain the expressions for the operating characteristics of the inventory system. Based on the solution structures for the special cases we propose an approximate solution which rests on replacing the state-dependent purchasing decision of the customer with an averaged-out purchase probability computed using only the age of the oldest item. An extensive numerical study indicates that the proposed approximation performs very well. Our numerical study provides additional insights about the sensitivity and allocation of stock levels across stages.
Citation - WoS: 2
Citation - Scopus: 2
A solution approach proposal with a lean perspective for the poultry sector with WRM and BWM integration
(EMERALD GROUP PUBLISHING LTD, 2023-11-30) Elif Kiran; Yesim Deniz Ozkan-Ozen; Yucel Ozturkoglu; Kiran, Elif; Ozkan-Ozen, Yesim Deniz; Ozturkoglu, Yucel
PurposeThis study aims to analyze lean wastes for the poultry sector in Turkey and link lean tools to this study focusing on identifying each lean waste that affects poultry production and proposing solutions for preventing these lean wastes in the sector. The proposed solutions aim to improve processes by suggesting different lean tools and their applications for the poultry sector.Design/methodology/approachThe study consists of two different applications. First the waste relationship matrix (WRM) was created to reveal the relationship between seven lean wastes and their importance order. Then after determining lean tools for eliminating lean wastes the optimum weight ranking and consistency ratio of the most suitable lean tools were calculated for these wastes and ranked with the best-worst method (BWM).FindingsResults showed that overproduction is the most critical waste that impacts other wastes followed by defect waste. Due to the nature of the sector these wastes not only result in economic loss for the company but also in food waste and loss and issues related to animal welfare. Furthermore the Kaizen approach and 5S implementation are the methods to eliminate these wastes. Detailed discussion on the link between lean tools and lean wastes is provided for the poultry sector.Originality/valueThis is the first study that theoretically and empirically identifies the potential lean waste affecting the poultry sector and provides lean tools for eliminating these wastes. Sector-specific explanations and discussions are presented in the study to show the applicability of lean approaches in the poultry sector to eliminate waste. In addition this study is the first to integrate the WRM and BWM.
Citation - WoS: 1
Citation - Scopus: 1
A STOCHASTIC MAXIMUM PRINCIPLE FOR GENERAL MEAN-FIELD SYSTEM WITH CONSTRAINTS
(AMER INST MATHEMATICAL SCIENCES-AIMS, 2025) Shahlar Meherrem; Mokhtar Hafayed; Hafayed, Mokhtar; Meherrem, Shahlar
In this paper we study the optimal control of a general mean-field stochastic differential equation with constraints. We establish a set of necessary conditions for the optimal control where the coefficients of the controlled system depend nonlinearly on both the state process as well as of its probability law. The control domain is not necessarily convex. The proof of our main result is based on the first-order and second-order derivatives with respect to measure in the Wasserstein space of probability measures and the variational principle. We prove Peng's type necessary optimality conditions for a general mean-field system under state constraints. Our result generalizes the stochastic maximum principle of Buckdahn et al. [2] to the case with constraints.

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