An optimization model for annual harvest planning

2004 ◽  
Vol 34 (8) ◽  
pp. 1747-1754 ◽  
Author(s):  
Jenny Karlsson ◽  
Mikael Rönnqvist ◽  
Johan Bergström
Keyword(s):  
Programming Model ◽  
Mixed Integer ◽  
Maintenance Cost ◽  
Road Maintenance ◽  
Continuous Variables ◽  
Home Base ◽  
The Road ◽  
Wood Processing ◽  
Production Capacities ◽  
And Storage

The problem we consider is annual harvesting planning from the perspective of Swedish forest companies. The main decisions deal with which areas to harvest during an annual period so that the wood-processing facilities receive the required amount of assortments. Each area has a specific size and composition of assortments, and the choice of harvesting areas affects the production level of different assortments. We need to decide which harvest team to use for each area, considering that each team has different skills, home base, and production capacities. Also, the weather and road conditions vary during the year. Some roads cannot be used during certain time periods and others should be avoided. The road maintenance cost varies during the year. Also, some areas cannot be harvested during certain periods. Overall decisions about transportation and storage are also included. In this paper, we develop a mixed integer programming model for the problem. There are binary variables associated with harvesting, allocation of teams, and road-opening decisions. The other decisions are represented by continuous variables. We solve this problem directly with CPLEX 8.1 within a practical solution time limit. Computational results from a major Swedish forest company are presented.

scholarly journals Resilience-Based Optimization of Postdisaster Restoration Strategy for Road Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xinhua Mao ◽  
Jibiao Zhou ◽  
Changwei Yuan ◽  
Dan Liu
Keyword(s):  
Travel Time ◽  
Road Network ◽  
Network Performance ◽  
Network Flows ◽  
Programming Model ◽  
Mixed Integer ◽  
Total System ◽  
Network Resilience ◽  
The Road ◽  
Restoration Strategies

This work proposes a framework for the optimization of postdisaster road network restoration strategies from a perspective of resilience. The network performance is evaluated by the total system travel time (TSTT). After the implementation of a postdisaster restoration schedule, the network flows in a certain period of days are on a disequilibrium state; thus, a link-based day-to-day traffic assignment model is employed to compute TSTT and simulate the traffic evolution. Two indicators are developed to assess the road network resilience, i.e., the resilience of performance loss and the resilience of recovery rapidity. The former is calculated based on TSTT, and the latter is computed according to the restoration makespan. Then, we formulate the restoration optimization problem as a resilience-based bi-objective mixed integer programming model aiming to maximize the network resilience. Due to the NP-hardness of the model, a genetic algorithm is developed to solve the model. Finally, a case study is conducted to demonstrate the effectiveness of the proposed method. The effects of key parameters including the number of work crews, travelers’ sensitivity to travel time, availability of budget, and decision makers’ preference on the values of the two objectives are investigated as well.

scholarly journals Application of HDM-4 Model in the Structural, Functional, and Economic Variations using Road Maintenance Alternatives: A Case Study at Selected Road Sections in Addis Ababa City

2020 ◽  
Author(s):  
Million Demie ◽  
Emer Quezon ◽  
Alemayehu Feyissa
Keyword(s):  
Road Network ◽  
Net Present Value ◽  
Addis Ababa ◽  
Maintenance Cost ◽  
Road Maintenance ◽  
Average Roughness ◽  
Maintenance Strategies ◽  
The Road ◽  
Maintenance Schedule ◽  
Questionnaire Surveys

Roadway is one of the most crucial transportation modes to cater to inland movement within a country. The agency mandate is to design, construct, and maintain the road to sustain the traffic up to its design life without further strengthening. However, some factors are affecting the performance of the pavement. Most pavements start to show some traces of deterioration after construction and opening to traffic, but once neglected, the distress portions would be aggravated with corresponding increasing maintenance cost. Thus, the road's maintenance has to be carried out at the place, right schedule, right quality, and at the least cost. Since there are different maintenance alternatives, the best strategy has to be chosen following the road's condition and the severity of the damage. To select the best maintenance alternative, calculations on the pavement layer's property are performed. The Highway Development and Management (HDM-4) tool can do such measures to help decide which option is the best by evaluating the economic and structural conditions. This paper contains two significant areas that are studied. First, it was assessed the procedures followed by the city's road authority to develop the appropriate road maintenance strategies. Questionnaire surveys and interviews are used to collect information from the city's road maintenance departments. Second, the project analysis was performed for structural and economic comparison of different maintenance alternatives using HDM-4. In the analyses, three selected road segments are considered and collected important input data like road condition data, road network data, vehicle fleet data, estimated AADT, and International Roughness Index (IRI). There were five maintenance alternatives have been defined, and proposed maintenance alternatives are compared. The selection is based on the deteriorated pavement, which showed the average roughness for every section of the road network, considering an analysis period of 20 years and cost stream ranking for their Net Present Value and IRR. Results indicated that using a mill and replace, and routine maintenance schedule for the selected road networks is economically viable and structurally significant. Hence, the city's road authority is recommended to apply the different maintenance strategies, providing an economical and better performance for the city's road network.

Integrated forest harvest planning and road-building model with consideration of economies of scale

2020 ◽  
Vol 50 (10) ◽  
pp. 989-1001
Author(s):  
Azadeh Mobtaker ◽  
Julio Montecinos ◽  
Mustapha Ouhimmou ◽  
Mikael Rönnqvist
Keyword(s):  
Economies Of Scale ◽  
Road Construction ◽  
Mixed Integer ◽  
Mixed Integer Linear Program ◽  
Road Building ◽  
The Road ◽  
Building Model ◽  
Wood Processing ◽  
Proposed Model ◽  
Transportation Plan

We consider the problem of tactical forest management over a 5-year horizon with yearly periods. The main decisions made consider which harvest areas to cut in each period, the flow of timber from an area to each wood-processing mill to satisfy its annual demand, and which roads to build to access a harvest area not connected to the existing road network. The goal is to minimize the total transportation and road-building costs subject to budget limitations. To explore the benefits of economies of scale (EOS) in road construction, we incorporated this notion in the proposed model. Then, the efficiency of the obtained solution is compared with the model without EOS. The proposed model is a mixed-integer linear program, including several timber assortments and multiple periods. We validated the model for a realistic case in the context of the province of Quebec. The results demonstrate that consideration of EOS significantly reduces the total cost by about 5.3%. In the EOS solution, the road segments that are built every year are very concentrated in specific parts of the region, allowing a road-building company to take advantage of EOS. Moreover, this solution provides a much more efficient timber transportation plan.

scholarly journals Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2409 ◽  
Author(s):  
Arslan Bashir ◽  
Mahdi Pourakbari Kasmaei ◽  
Amir Safdarian ◽  
Matti Lehtonen
Keyword(s):  
Demand Response ◽  
Programming Model ◽  
Residential Building ◽  
Hot Water ◽  
Mixed Integer ◽  
Efficient Utilization ◽  
Space Cooling ◽  
Pv Generation ◽  
Heating Loads ◽  
And Storage

Efficient utilization of renewable generation inside microgrids remains challenging. In most existing studies, the goal is to optimize the energy cost of microgrids by working in synergy with the main grid. This work aimed at maximizing the self-consumption of on-site photovoltaic (PV) generation using an electrical storage, as well as demand response solutions, in a building that was also capable of interacting with the main grid. Ten-minute resolution data were used to capture the temporal behavior of the weather. Extensive mathematical models were employed to estimate the demand for hot-water consumption, space cooling, and heating loads. The proposed framework is cast as mixed-integer linear programming model while minimizing the interaction with the grid. To evaluate the effectiveness of the proposed framework, it was applied to a typical Finnish household. Matching indices were used to evaluate the degree of overlap between generation and demand under different PV penetrations and storage capacities. Despite negative correlation of PV generation with Finnish seasonal consumption, a significant portion of demand can be satisfied solely with on-site PV generation during the spring and summer seasons.

scholarly journals Effect of Railway Track Segmentation Method on the Optimal Solution of Tamping Planning Problem

2021 ◽  
Vol 7 (12) ◽  
pp. 1998-2010
Author(s):  
Mohammad Daddow ◽  
Xinglin Zhou ◽  
Hasan A.H. Naji ◽  
Mo'men Ayasrah
Keyword(s):  
Programming Model ◽  
Optimal Solution ◽  
Railway Track ◽  
Mixed Integer ◽  
Maintenance Cost ◽  
Planning Problem ◽  
Segmentation Method ◽  
Railway Network ◽  
Railway Infrastructure ◽  
Optimal Maintenance

The safety and continuality of the railway network are guaranteed by carrying out a lot of maintenance interventions on the railway track. One of the most important of these actions is tamping, where railway infrastructure managers focus on optimizing tamping activities in ballasted tracks to reduce the maintenance cost. To this end, this article presents a mixed integer linear programming model of the Tamping Planning Problem (TPP) and investigates the effect of track segmentation method on the optimal solution by three scenarios. It uses an opportunistic maintenance technique to plan tamping actions. This technique clusters many tamping works through a time period to reduce the track possession cost as much as possible. CPLEX 12.6.3 is used in order to solve the TPP instances exactly. The results show that the total number of machine preparations increases by increasing the number of track segments. It is also found that the total costs increase by 6.1% and 9.4% during scenarios 2 and 3, respectively. Moreover, it is better to consider the whole railway track as a single segment (as in scenarios 1) that consists of a set of sections during the tamping planning in order to obtain the optimal maintenance cost. Doi: 10.28991/cej-2021-03091774 Full Text: PDF

scholarly journals Emergency Resource Location and Allocation in Traffic Contingency Plan for Sports Mega-Event

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ling Shen ◽  
Jian Lu ◽  
Ling Deng ◽  
Manman Li
Keyword(s):  
Programming Model ◽  
Mixed Integer ◽  
Resource Location ◽  
Contingency Plan ◽  
Winter Olympics ◽  
The Road ◽  
Material Resources ◽  
Real Coded Genetic Algorithm ◽  
Mega Event ◽  
Rescue Time

In view of the transactional and textual features on issue handling in mega-event traffic contingency plan, this paper gives a quantitative method for emergency resources location and allocation. Given that the requirement on safeguards in the sports mega-events is temporary and stringent, we first divide the facilities into temporary emergency facilities and fixed emergency facilities and the resources into material resources and human resources. Considering the uncertainty of emergency incidents, we then construct a mixed integer linear programming model. To solve this model, the bisection method is used to import the material quantity placed in each emergency facility, and the shortest path algorithm is used to import the rescue time matrix. Considering the slowness of convergence rate when the road network is large, a modified matrix real-coded genetic algorithm is designed with the crossover operator based on a greedy algorithm. The application of the model and algorithms is validated by the case based on 2022 Beijing Winter Olympics. Sensitivity analysis of some important parameters is also conducted to provide insights for traffic emergency resources management in sports mega-event.

scholarly journals Improving Equipment Effectiveness by Designing Optimal Production Process

2011 ◽  
Vol 383-390 ◽  
pp. 6363-6369
Author(s):  
Mohammad Amin Okhovat ◽  
Taravatsadat Nehzati ◽  
Amin Pouriran ◽  
Shahriar Fakhar ◽  
Mohd Khairol Anuar Mohd Ariffin
Keyword(s):  
Manufacturing Systems ◽  
Programming Model ◽  
Mixed Integer ◽  
Maintenance Cost ◽  
Manufacturing Strategy ◽  
Total Productive Maintenance ◽  
Total Cost ◽  
Equipment Reliability ◽  
Equipment Availability ◽  
Optimal Material

Reliable manufacturing equipment is an indispensable factor to the performance and profitability of manufacturing systems. Total productive maintenance (TPM) has been recognized as a comprehensive manufacturing strategy to maximize equipment reliability and effectiveness through rooting out all manufacturing losses. Availability of equipment is a focus area in TPM to improve effectiveness throughout the lifetime of the equipment. This study develops a mixed integer linear programming model to increase equipment availability considering maintenance cost of each machine in the system. The main objective is minimizing total cost while designing optimal material flows between different operational levels of manufacturing process. A hypothetical problem is presented and solved by the developed model.

scholarly journals Evaluation of Cost Effectiveness of Performance Based Contract for National Road Improvement and Maintenance Projects

2021 ◽  
Vol 27 (1) ◽  
pp. 69-79
Author(s):  
Andhika Ajengtyas Setorini ◽  
Jati Utomo Dwi Hatmoko ◽  
Bagus Hario Setiadji
Keyword(s):  
Cost Efficiency ◽  
The Other ◽  
Maintenance Cost ◽  
Road Maintenance ◽  
The Road ◽  
Design Build ◽  
Road Condition ◽  
The Government ◽  
The Cost ◽  
National Road

As an effort to maintain and improve its national road condition with a strict budget, the Government of Indonesia has implemented various types of contract in road maintenance. One of the road maintenance contract, i.e. performanced based contract (PBC), allows the contractor to design, build, and maintain the road and use performance measures as payment requirement. While many researches state that the PBC implementation on road maintenance may lead to cost efficiency, in Indonesia the cost efficiency is still questionable. This research is trying to answer the question by comparing actual road maintenance cost of two roads with same characteristics, while one is PBC and the other is traditional contract. The result shows that in one case PBC is cheaper than traditional contract, while the other case shows the opposite.

Sign in / Sign up

Export Citation Format

Share Document