scholarly journals MODEL OPTIMISASI UNTUK MASALAH MINIMISASI BIAYA PERJALANAN WISATA TUR-TUNGGAL DI ZONA KEPULAUAN

2021 ◽  
Vol 4 ◽  
pp. 68-75
Author(s):  
M Thezar Afifudin ◽  
Dian P. Sahar

This study aims to develop an optimization model for solving the insular cost minimization single-tour travel problems. The model was developed using an integer non-linear programming approach by considering the selection of departure and arrival points of an island, selecting accommodation points, selecting transportation mode departure schedules, and selecting travel routes both within islands and between islands. The cost components considered include inter-island travel costs, land travel costs, costs at selective points, and costs waiting for departure. A numerical experiment was conducted on the case of planning a tourist route in Maluku, Indonesia. The departure day scenario is built to find out the exact route and schedule on each day of departure with a minimum total cost. In addition, comparisons were also made to the results obtained in the time minimization model that was introduced earlier. The results showed that the model can adapt through variations of solutions to changes in the given parameters and objectives.

Author(s):  
Sankar Kumar Roy ◽  
Deshabrata Roy Mahapatra

In this chapter, the authors propose a new approach to analyze the Solid Transportation Problem (STP). This new approach considers the multi-choice programming into the cost coefficients of objective function and stochastic programming, which is incorporated in three constraints, namely sources, destinations, and capacities constraints, followed by Cauchy's distribution for solid transportation problem. The multi-choice programming and stochastic programming are combined into a solid transportation problem, and this new problem is called Multi-Choice Stochastic Solid Transportation Problem (MCSSTP). The solution concepts behind the MCSSTP are based on a new transformation technique that will select an appropriate choice from a set of multi-choice, which optimize the objective function. The stochastic constraints of STP converts into deterministic constraints by stochastic programming approach. Finally, the authors construct a non-linear programming problem for MCSSTP, and by solving it, they derive an optimal solution of the specified problem. A realistic example on STP is considered to illustrate the methodology.


2019 ◽  
Vol 1 (26) ◽  
pp. 80-87
Author(s):  
Minh Tan Tang

The article used the methods planning mathematics to give alternatives machines, construction equipment. This problem, based on the specific constraints such as mass excavation, leveling, compaction, transport ... to meet the full workload as planned. Additionally, this task must also satisfy the given objective function is minimal cost machine shift and ensure the execution time is shortest. This approach aims to bring about economic benefits for the construction company and is used for reference when selecting machines, construction equipment  works with the same workload. On the other hand, problem also propose solutions equippedmachinery and equipment for the construction company.


1997 ◽  
Vol 119 (4A) ◽  
pp. 603-610 ◽  
Author(s):  
Chang-Xue (Jack) Feng ◽  
A. Kusiak

The quality loss function incorporates the cost of tolerances, however, it does not consider the manufacturing cost and design constraints. In this paper, a stochastic integer programming (SIP) approach is presented for simultaneous selection of tolerances and manufacturing processes. A direct link between the minimum manufacturing cost and the required level of manufacturing yield is established through the process capability index Cpk. As the tolerances in SIP are discrete, the solution generated is acceptable for manufacturing. It is shown that the integer programming models are applicable in the quality loss function and six sigma design approaches. The SIP approach is illustrated with a classical example of nonlinear tolerance design. The comparison of the proposed SIP approach, the Taguchi method, and the conventional mathematical models in tolerance synthesis is presented.


2019 ◽  
Vol 8 (4) ◽  
pp. 12185-12187

This paper presents brief record on Adaptive Receiving Antenna (ARA) system for functional remote networking. The selection of acute/adaptable reception system in infinite remote wireless frameworks is required to significantly affect the effective utilization of the dimensions, the cost minimization of creating new remote systems, the optimization of appropriate framework quality and acknowledgment of guileless movement of the nodes over multi innovation remote systems. This paper presents brief record on a keen Radio Link Framework (RLF). ARAs can put nulls toward interferers through adaptable system of load connected to every radio terminal component. ARAs in this way counterbalance the majority of the co-direct obstruction bringing about better cover of cells and lower dropped calls. The paper further clarifies about the radiation scenario of the receiving end and why it is exceptionally favored in its relative field. The capacities of acute/adaptable reception system are effectively employable to Cognitive Radio and OFDMA framework.


2014 ◽  
Vol 5 (3) ◽  
pp. 1-26 ◽  
Author(s):  
Sankar Kumar Roy ◽  
Deshabrata Roy Mahapatra

This paper proposes a new approach to analyze the solid transportation problem (STP). This new approach considers the multi-choice programming into the cost coefficients of objective function and stochastic programming which is incorporated in three constraints namely sources, destinations and capacities constraints followed by Cauchy's distribution for solid transportation problem. The multi-choice programming and stochastic programming are combined into solid transportation problem and this new problem is called multi-choice stochastic solid transportation problem (MCSSTP). The solution concepts behind the MCSSTP are based on a new transformation technique which will select an appropriate choice from a set of multi-choice which optimizes the objective function. The stochastic constraints of STP convert into deterministic constraints by stochastic programming approach. Finally, the authors have constructed a non-linear programming problem for MCSSTP and have derived an optimal solution of the specified problem. A realistic example on STP is considered to illustrate the methodology.


2021 ◽  
pp. 67-73
Author(s):  
Mikhail Bazuev ◽  
◽  
Vitaly Koksharov ◽  
Alexey Naichuk ◽  
◽  
...  

In this work, the analysis of real deviations from the nominal dimensions links, and their cumulative effect on the final movement of the chain linkage element rolling semiautomatic mechanism. The considered mechanism was converted to an equivalent one, consisting of lower translational and rotational kinematic pairs. In the course of the structural analysis, the mechanism was divided into Assur groups in order to simplify further kinematic calculations. The calculation was carried out sequentially for each of the structural groups separately. Based on this, a mathematical model of the kinematics of a rolling semiautomatic mechanism was developed, taking into account the real size of the links, that is, possible deviations of the links size from the nominal values for any combination of them. Using a specific example with the given installation dimensions of the mechanism, the transfer function of the output link (wedge) is built, and the range of its possible change is determined according to the specified dimensional tolerances. Combinations of link sizes for the boundaries of the range of change of the transfer function have been determined It is shown that with the tolerances indicated in accordance with the Unified system of tolerances and fits, the deviation of the position of the output link at the extreme position of the input link (pusher) can reach ±10 of that calculated by the nominal dimensions. This model can be used to solve the problems of optimal selection of tolerances and reduce the cost of manufacturing a product, based on the kinematic restrictions imposed on the functionality of the mechanism. The proposed approach to the construction and analysis of analytical mathematical models can be relevant for a wide variety of industries: machine tool building, engine building, weapons industry and aircraft building, especially where mechanisms are used that form long kinematic chains.


2003 ◽  
Vol 4 (1) ◽  
pp. 25-32
Author(s):  
G. L. Colombo ◽  
A. Muzio ◽  
R. Giordani

The global cost of a vaccination program is made up by many more cost components than the acquisition expense, although the former is the first cost usually taken into consideration when comparing two or more alternatives. The present article analyses the economical impact consequent to the use of two different hexavalent vaccine formulations (Hexavac, liquid ready for injection, and Infanrix Hexa, dry, to be re-hydrated) available on the Italian market for the mandatory vaccination of newborns during their first year of life. The cost minimization analysis was conducted considering only differential costs, i.e. those costs than can differ with the use of one of the two products, and not those common to the two competing products, such as acquisition cost (33 euro in average for both), the costs for the organization, the call of the infants to be vaccinated, etc.. The differences among the considered alternatives detected by this study regard the work for the preparation and administration of the vaccines, the quantity of special waste they produce and the incidence of serious febrile reactions leading to pharmacological treatment and physician consultation (body temperature > 40°C). The liquid formulation resulted more convenient in terms of cost for nurse work (0,63 euro saved per patient), waste disposal, and adverse reactions management. The robustness of these results was confirmed by sensitivity analysis and an estimate of the global saving for the Italian health system associated with the universal utilization of the liquid formulation is furnished.


2020 ◽  
Vol 55 (1) ◽  
pp. 11-13
Author(s):  
I. M. Omarova ◽  
J. O. Nurketaeva ◽  
D. D. Dorogan

Rational selection of medicines with an assessment of their pharmacoeconomic effectiveness is the most effective way to ensure safe and efficient treatment and economical use of budget funds allocated for drug therapy, as well as to reduce the time of hospitalization and treatment of patients. The purpose of the research was to evaluate the pharmacoeconomic effectiveness of using the subcutaneous and intravenous forms of drug Trastuzumab. Research tasks: 1. Estimate costs when using subcutaneous trastuzumab in an outpatient chemotherapy room (OCR). 2. Estimate costs when using intravenous trastuzumab in a day patient department (DPD) 3. Estimate costs when using intravenous trastuzumab in a round-the-clock hospital Results: The paper presents the pharmacoeconomic analysis of targeted therapy with trastuzumab in two forms for intravenous (IV) administration and trastuzumab emtansine for subcutaneous (SC) administration in breast cancer by cost minimization method. The costs include the cost of used drugs according to the price-list of the unified national distributor SK Pharmacia as of January 1, 2018. At comparable efficacy and toxicity, the estimated cost-effectiveness of trastuzumab per 100 patients per year is KZT16,939,600 ($50,972) for SC administration in OCR and IV administration in DPD vs. KZT41,783,200 ($125,728) for SC administration in OCR and IV administration in a round-theclock hospital.


Author(s):  
Sankar Kumar Roy ◽  
Deshabrata Roy Mahapatra

In this chapter, the authors propose a new approach to analyze the Solid Transportation Problem (STP). This new approach considers the multi-choice programming into the cost coefficients of objective function and stochastic programming, which is incorporated in three constraints, namely sources, destinations, and capacities constraints, followed by Cauchy's distribution for solid transportation problem. The multi-choice programming and stochastic programming are combined into a solid transportation problem, and this new problem is called Multi-Choice Stochastic Solid Transportation Problem (MCSSTP). The solution concepts behind the MCSSTP are based on a new transformation technique that will select an appropriate choice from a set of multi-choice, which optimize the objective function. The stochastic constraints of STP converts into deterministic constraints by stochastic programming approach. Finally, the authors construct a non-linear programming problem for MCSSTP, and by solving it, they derive an optimal solution of the specified problem. A realistic example on STP is considered to illustrate the methodology.


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