Person Image

    Education

    • วศ.บ.(วิศวกรรมไฟฟ้า), มหาวิทยาลัยเกษตรศาสตร์, ไทย
    • M.S.(Industrial Engineering), Texas Tech University, U.S.A.
    • Ph.D.(Industrial Engineering), Texas Tech University, U.S.A.

    Expertise Cloud

    ATM NetworkBenders decompositionBenders decomposition.Benders' decomposition.Benders’ decompositionBin PackingBottleneck transportation problemBounded and unbounded knapsack problemsBounded variablesBranch and BoundBranch and bound methodbudget allocationCapacitated Lot-Sizing Modelcapital budgetingCentral Composite DesignChinese Postman Problemcolumn generationcolumn-generation techniqueCombinatorial optimizationComplementary SlacknessComplementary Slackness ConditionsCompletion TimeComputational Electromagneticscomputational methodsComputational methods.constraint logic programmingCorrelated transition probabilitiesCost-benefit analysis (CBA)covariance matrixCutting StockDantzig-wolfe decompositionData envelopment analysiData Envelopment Analysisdecision under uncertaintiesdecompositionDynamic programmingdynamic quadratic assignmentEfficiencyElectricity capacity expansionEnergy not supplyExtreme point ranking methodFacility Location ProblemsFaulhaberโ€™s formulaFeed-mix Problem SolvingFinished productsfleet optimizationFlowshopFuzzy MCDMfuzzy number dominanceGeneral solutionGenetic algorithmgraphical - based methodgraphical based methodGreedy methodheuristic procedure higher order correlation. higher order correlationshybrid strategyinfinite programmingInteger programmingintegral.inventory controlInverse DEAInverse optimizationLagrange mul- tiplierLagrange MultiplierLapjv CodeLaplace’s equationLarge and sparse linear equationsLarge and sparse systemsLarge Linear Dense Equationlarge personnel scheduling modelLarge Scale Linear Assignment ProblemLarge scale linear programmingLarge Scale ProblemLarge-scale Feed-mix ProblemLarge-scale linear programmingLarge-scale problemLinear programming under uncertaintieslinearized modelLocation-allocation problemLogic-based Methodlogic-based modelLongest Processing TimeLot sizing problemLOT-SIZING INVENTORY MODELLP Based HeuristicsManagement Science maritime logisticsMarkov chainMATLABmixed integer programmingone-dimensional cutting stock problempersonnel schedulingStochastic linear programmingStochastic programmingTwo-stage linear programmingตัวแบบทางคณิตศาสตร์เทคนิคการสร้างแถวโปรแกรมเชิงเส้นขนาดใหญ่

    Interest

    Optimization, Operations Research, Management Science , Production & Operations, Numerical Methods and Analysis with Applications in Safety Engineering

    Resource

    • จำนวนหน่วยปฏิบัติการที่เข้าร่วม 0 หน่วย
    • จำนวนเครื่องมือวิจัย 0 ชิ้น

    งานวิจัยในรอบ 5 ปี

    Project

    งานวิจัยที่อยู่ระหว่างการดำเนินการ
    • ทุนใน 0 โครงการ
    • ทุนนอก 0 โครงการ
    งานวิจัยที่เสร็จสิ้นแล้ว
    • ทุนใน 4 โครงการ (หัวหน้าโครงการ 1 โครงการ, ที่ปรึกษาโครงการ 3 โครงการ)
    • ทุนนอก 2 โครงการ (ที่ปรึกษาโครงการ 1 โครงการ, ผู้ร่วมวิจัย 1 โครงการ)

    แนวโน้มผลงานทั้งหมดเทียบกับแนวโน้มผลงานในรอบ 5 ปี

    Output

    • บทความ 81 เรื่อง (ตีพิมพ์ในวารสารวิชาการ 49 เรื่อง, นำเสนอในการประชุม/สัมมนา 32 เรื่อง)
    • ทรัพย์สินทางปัญญา 0 เรื่อง (ลิขสิทธิ์ 0 เรื่อง, เครื่องหมายการค้า 0 เรื่อง, อนุสิทธิบัตร 0 เรื่อง, สิทธิบัตร 0 เรื่อง)
    • สิ่งประดิษฐ์ 0 เรื่อง (ขึ้นทะเบียนพันธุ์พืช หรือพันธุ์สัตว์ หรือสิ่งประดิษฐ์ มก. 0 เรื่อง)
    • Unknown 0 เรื่อง (Unknown 0 เรื่อง)

    แนวโน้มการนำผลงานไปใช้ประโยชน์ในด้านต่างๆ

    Outcome

    • การนำผลงานไปใช้ประโยชน์ 3 เรื่อง (เชิงวิชาการ 3 เรื่อง, เชิงนโยบาย/บริหาร 0 เรื่อง, เชิงสาธารณะ 0 เรื่อง, เชิงพาณิชย์ 0 เรื่อง)

    รางวัลที่ได้รับ

    Award

    • รางวัลที่ได้รับ 0 เรื่อง (ประกาศเกียรติคุณ/รางวัลนักวิจัย 0 เรื่อง, รางวัลผลงานวิจัย/สิ่งประดิษฐ์ 0 เรื่อง, รางวัลผลงานนำเสนอในการประชุมวิชาการ 0 เรื่อง)


    Scopus h-index

    #Document titleAuthorsYearSourceCited by
    1Inverse data envelopment analysis model to preserve relative efficiency values: The case of variable returns to scaleLertworasirikul S., Charnsethikul P., Fang S.C.2011Computers and Industrial Engineering,
    61(4), pp. 1017-1023
    113
    2A study of replacement rules for a parallel fleet replacement problem based on user preference utilization pattern and alternative fuel considerationsParthanadee P., Buddhakulsomsiri J., Charnsethikul P.2012Computers and Industrial Engineering,
    63(1), pp. 46-57
    30
    3Ordering alternatives under fuzzy multiple criteria decision making via a fuzzy number dominance based ranking approachChu T., Charnsethikul P.2013International Journal of Fuzzy Systems,
    15(3), pp. 263-273
    9
    4Benders decomposition with special purpose method for the sub problem in lot sizing problem under uncertain demandWitthayapraphakorn A., Charnsethikul P.2019Operations Research Perspectives,
    6, 100096
    7
    5Solving one-dimensional cutting stock problem with discrete demands and capacitated planning objectiveWongprakornkul S., Charnsethikul P.2010Journal of Mathematics and Statistics,
    6(2), pp. 79-83
    7
    6A Column Generation Approach for Personnel Sched uling with Discrete Uncertain RequirementsPakpoom P., Charnsethikul P.20192018 2nd International Conference on Informatics and Computational Sciences, ICICoS 2018,
    pp. 185-190, 8621664
    6
    7Comparison of exact algorithms for rectilinear distance single-source capacitated multi-facility Weber ProblemsSinghtaun C., Charnsethikul P.2010Journal of Computer Science,
    6(2), pp. 112-116
    4
    8The constrained minimax linear assignment problemCharnsethikul P.2000Optimization Methods and Software,
    14(1-2), pp. 37-48
    4
    9The constrained bottleneck transportation problemCharnsethikul P., Svetasreni S.2007Journal of Mathematics and Statistics,
    3(1), pp. 24-27
    4
    10Benders' decomposition based heuristics for large-scale dynamic quadratic assignment problemsMuenvanichakul S., Charnsethikul P.2009Journal of Computer Science,
    5(1), pp. 64-70
    3
    11A column generations approach for the products mix based semi-infinite linear programming modelCharnsethikul P.2011International Journal of Management Science and Engineering Management,
    6(2), pp. 105-108
    3
    12A Stochastic Programming Approach for Cyclic Personnel Scheduling with Double Shift RequirementPakpoom P., Charnsethikul P.2018WSEAS Transactions on Systems and Control,
    13(1), pp. 275-284
    3
    13Solving the one-dimensional cutting stock problem under discrete, uncertain, time-varying demands using a hybrid of special-purpose Benders' decomposition and column generationWitthayapraphakorn A., Jaijit S., Charnsethikul P.2021International Journal of Mathematics in Operational Research,
    18(3), pp. 360-383
    2
    14A stochastic knapsack problem with continuous random capacityWitchakul S., Ayudhaya P., Charnsethikul P.2008Journal of Mathematics and Statistics,
    4(4), pp. 269-276
    2
    15A fast method for a class of one-stage bounded variables and single constrained linear programming problemsWitchakul S., Sudasna-na-Ayudthya P., Charnsethikul P.2007Journal of Interdisciplinary Mathematics,
    10(2), pp. 285-303
    2
    16A graphical based method for a class of one-stage bounded variables and single constrained linear programming problemsWitchakul S., Sudasna-na-Ayudthya P., Charnsethikul P., Mathur K.2007American Journal of Applied Sciences,
    4(12), pp. 1040-1044
    2
    17Efficient heuristics for single-source capacitated multifacility weber problemsSinghtaun C., Charnsethikul P.200838th International Conference on Computers and Industrial Engineering 2008,
    1, pp. 35-40
    2
    18Solving stochastic knapsack problem with discrete random capacityWitchakul S., Sudasna-na-Ayudthya P., Charnsethikul P.200737th International Conference on Computers and Industrial Engineering 2007,
    1, pp. 753-762
    1
    19Two reformulations for the Dynamic Quadratic Assignment ProblemMuenvanichakul S., Charnsethikul P.2010Journal of Mathematics and Statistics,
    6(4), pp. 449-453
    1
    20Parallel approaches for intervals analysis of variable statistics in large and sparse linear equations with RHS rangesCharnsethikul P.2007American Journal of Applied Sciences,
    4(5), pp. 300-306
    1
    21Column generation approach for solving uncapacitated dynamic lot-sizing problems with time-varying costBoonphakdee W., Charnsethikul P.2022International Journal of Mathematics in Operational Research,
    23(1), pp. 55-75
    1
    22An adaptive special purpose algorithm for a class of two - stage single constrained linear fractional programming problemKetsarapong P., Charnsethikul P., Witchakul S.2013Journal of Interdisciplinary Mathematics,
    16(6), pp. 439-456
    1
    23Solving large scale assignment problem using the successive complementary slackness conditionsBoonphakdee W., Charnsethikul P.2016AIP Conference Proceedings,
    1775, 030008
    1
    24Cyclic personnel scheduling with uncertain demand and double shift requirementsPakpoom P., Charnsethikul P.2018AIP Conference Proceedings,
    1982, 020035
    1
    25An applied column generation approach for solving large-scale uncapacitated dynamic lot sizing problemsBoonphakdee W., Charnsethikul P.2018AIP Conference Proceedings,
    2013, 020044
    0
    26A successive admissible cell method for solving large scale Linear Assignment Problem with dense cost matrixBoonphakdee W., Charnsethikul P.2016Journal of Computer Science,
    12(8), pp. 424-435
    0
    27Message from General ChairsOkumura M., Saimek O., Charnsethikul P., Tangtermsirikul S.20172017 8th International Conference on Information and Communication Technology for Embedded Systems, IC-ICTES 2017 - Proceedings,
    7958754
    0
    28A hybrid Dantzig-Wolfe, Benders decomposition and column generation procedure for multiple diet production planning under uncertaintiesUdomsungworagul A., Charnsethikul P.2018IOP Conference Series: Materials Science and Engineering,
    332(1), 012038
    0
    29Using column generation technique to estimate probability statistics in transition matrix of large scale Markov chain with least absolute deviation criteriaLerspipatthananon W., Charnsethikul P.2014Journal of Mathematics and Statistics,
    10(3), pp. 331-338
    0
    30Message from general chairsCharnsethikul P.20152015 6th International Conference on Information and Communication Technology for Embedded Systems, IC-ICTES 2015,
    7110804
    0
    31PrefaceCheung S.K.S., Paoprasert N., Li K.C., Wang F.L., Charnsethikul P., Phusavat K.2024Communications in Computer and Information Science,
    1974 CCIS, pp. v-vi
    0
    32LP-Based Row Generation Using Optimization-Based Sorting Method for Solving Budget Allocation with a Combinatorial Number of ConstraintsWitthayapraphakorn A., Jaijit S., Charnsethikul P.2023Computation,
    11(12), 242
    0
    33A general solution for a special tri-diagonal linear systemCharnsethikul P., Nuntanart C., Witthayapraphakorn A.2024Journal of Interdisciplinary Mathematics,
    27(3), pp. 601-617
    0
    34A Multi-Type Ship Allocation and Routing Model for Multi-Product Oil Distribution in Indonesia with Inventory and Cost Minimization Considerations: A Mixed-Integer Linear Programming ApproachSirait M., Sirait M., Charnsethikul P., Paoprasert N.2025Logistics,
    9(1), 35
    0
    35Effective Heuristics for Solving the Multi-Item Uncapacitated Lot-Sizing Problem Under Near-Minimal Storage CapacitiesBoonphakdee W., Hirunyasiri D., Charnsethikul P.2025Computation,
    13(6), 148
    0
    36Optimization based heuristic approaches for solving an integrated one-dimensional cutting stock-transportation problemWongprakornkul S., Charnsethikul P.2007Journal of Mathematics and Statistics,
    3(3), pp. 142-150
    0
    37A parallel approach for determining confidence intervals of variable statistics in large and sparse linear equations with RHS rangesCharnsethikul P.2009International Journal of Computer Mathematics,
    86(4), pp. 665-675
    0
    38A tree search approach on flowshop scheduling: Ranged processing time caseSukcharoenpong P., Charnsethikul P., Pararach S.2006Lecture Notes in Engineering and Computer Science,
    pp. 665-670
    0
    39An improvement on branch and bound in flowshop scheduling: Probabilistic processing time casePararach S., Sukcharoenpong P., Charnsethikul P.2006Lecture Notes in Engineering and Computer Science,
    pp. 784-789
    0