Journal of Shanghai Jiao Tong University ›› 2021, Vol. 55 ›› Issue (3): 297-310.doi: 10.16183/j.cnki.jsjtu.2019.215
Special Issue: 《上海交通大学学报》2021年“交通运输工程”专题; 《上海交通大学学报》2021年12期专题汇总专辑
Previous Articles Next Articles
FAN Houming1,2(), YU Jiaqi1, MA Mengzhi1,2, JIANG Xiaodan1,2, CI Jili3, ZHAI Zhiwei4
Received:
2019-07-03
Online:
2021-03-01
Published:
2021-04-02
CLC Number:
FAN Houming, YU Jiaqi, MA Mengzhi, JIANG Xiaodan, CI Jili, ZHAI Zhiwei. Heterogeneous Tramp Ship Scheduling and Speed Optimization with Fuzzy Time Window[J]. Journal of Shanghai Jiao Tong University, 2021, 55(3): 297-310.
Add to citation manager EndNote|Ris|BibTeX
URL: https://xuebao.sjtu.edu.cn/EN/10.16183/j.cnki.jsjtu.2019.215
Tab.2
Cargo information
编号 | 与货物不相适船舶 | 装货港 | 卸货港 | 装货港时间窗/h | 卸货港时间窗/h | 租船运输成本/美元 | ||
---|---|---|---|---|---|---|---|---|
下限 | 上限 | 下限 | 上限 | |||||
1 | — | GDANSK | RAVENNA | 364 | 436 | 364 | 1 017 | 464 619 |
2 | — | CADIZ | VADO LIGURE | 1 096 | 1 168 | 1 096 | 1 592 | 527 063 |
3 | — | GDANSK | KLAIPEDA | 891 | 963 | 891 | 1 292 | 345 828 |
4 | — | ANTWERP | BRAKE | 106 | 178 | 106 | 567 | 657 530 |
5 | — | ANCONA | CADIZ | 258 | 330 | 258 | 784 | 584 277 |
6 | 2,3 | ALGECIRAS | ANCONA | 72 | 144 | 72 | 572 | 416 260 |
7 | — | TILBURY | ANTWERP | 639 | 711 | 639 | 1 002 | 679 111 |
8 | — | DUNKIRK | THISVI | 1 454 | 1 526 | 1 454 | 2 060 | 938 250 |
9 | — | VIGO | VADO LIGURE | 852 | 924 | 852 | 1 344 | 552 843 |
10 | — | TALLINN | MO I RANA | 1 068 | 1 140 | 1 068 | 1 578 | 382 307 |
11 | — | ZEEBRUGGE | LIVERPOOL | 604 | 676 | 604 | 1 077 | 223 256 |
12 | — | SINES | MO I RANA | 535 | 607 | 535 | 1 038 | 513 859 |
13 | — | GENOA | GDANSK | 490 | 562 | 490 | 1 092 | 348 556 |
14 | — | BILBAO | LA SPEZIA | 932 | 1 004 | 932 | 1 446 | 299 760 |
15 | 2,3,4,5,6,7 | GDANSK | TEESPORT | 0 | 72 | 0 | 422 | 664 773 |
16 | — | TEESPORT | HAMBURG | 193 | 265 | 193 | 639 | 179 337 |
17 | 2,3 | HUELVA | VADO LIGURE | 52 | 124 | 52 | 574 | 653 627 |
18 | — | HUELVA | THISVI | 310 | 382 | 310 | 841 | 294 556 |
19 | 2,3,5 | VIGO | THISVI | 18 | 90 | 18 | 549 | 680 437 |
20 | — | LAS PALMAS | MO I RANA | 996 | 1 068 | 996 | 1 583 | 304 174 |
21 | 2,3,4,5,6,7 | GDANSK | THISVI | 0 | 72 | 0 | 637 | 998 137 |
22 | — | CADIZ | KLAIPEDA | 1 155 | 1 227 | 1 155 | 1 694 | 724 428 |
23 | — | VLISSINGEN | DUNKIRK | 386 | 458 | 386 | 780 | 179 492 |
24 | — | CARTAGENA | VADO LIGURE | 420 | 492 | 420 | 863 | 200 682 |
25 | — | GDANSK | ROTTERDAM | 322 | 394 | 322 | 834 | 512 956 |
26 | — | GDANSK | ANCONA | 880 | 952 | 880 | 1 496 | 584 238 |
27 | — | ALGECIRAS | VADO LIGURE | 391 | 463 | 391 | 839 | 256 818 |
28 | — | ORESUND | LISBON | 678 | 750 | 678 | 1 196 | 780 380 |
29 | — | HUELVA | LA SPEZIA | 892 | 964 | 892 | 1 369 | 606 120 |
30 | — | MO I RANA | SINES | 520 | 592 | 520 | 1 091 | 609 947 |
Tab.4
Comparison of standard example results
算例 | ηbest | GA | VNGSA | ||
---|---|---|---|---|---|
Z | ε/% | Z | ε/% | ||
C8_V3_1 | 1 391 997 | 1 391 997 | 0.00 | 1 391 997 | 0.00 |
C8_V3_2 | 1 246 273 | 1 246 273 | 0.00 | 1 246 273 | 0.00 |
C8_V3_3 | 1 698 102 | 1 698 102 | 0.00 | 1 698 102 | 0.00 |
C8_V3_4 | 1 777 637 | 1 777 637 | 0.00 | 1 777 637 | 0.00 |
C8_V3_5 | 1 636 788 | 1 636 788 | 0.00 | 1 636 788 | 0.00 |
C16_V6_1 | 3 577 005 | 3 642 887 | 1.84 | 3 577 005 | 0.00 |
C16_V6_2 | 3 560 203 | 3 560 203 | 0.00 | 3 560 203 | 0.00 |
C16_V6_3 | 4 081 013 | 4 081 013 | 0.00 | 4 081 013 | 0.00 |
C16_V6_4 | 3 667 080 | 3 718 542 | 1.40 | 3 667 080 | 0.00 |
C16_V6_5 | 3 438 493 | 3 476 347 | 1.10 | 3 438 493 | 0.00 |
C35_V13_1 | 2 986 667 | 3 531 066 | 18.23 | 3 252 532 | 8.90 |
C35_V13_2 | 3 002 974 | 3 147 092 | 4.80 | 3 002 974 | 0.00 |
C35_V13_3 | 3 084 339 | 3 226 146 | 4.60 | 3 149 614 | 2.12 |
C35_V13_4 | 3 952 461 | 4 202 921 | 6.34 | 4 093 356 | 3.56 |
C35_V13_5 | 3 293 086 | 3 507 983 | 6.53 | 3 370 315 | 2.35 |
εave | — | — | 2.99 | — | 1.13 |
Tab.5
Ship schedule and speed optimization problem with fuzzy time window
船号 | 船舶运输货物编号 | 航段采用速度/kn |
---|---|---|
1 | 21-13 | [13.4,11.3],[13.1,11.6] |
2 | 4-1-9 | [16.5,15.0],[15.8,15.9],[12.6,12.5] |
3 | 16-24-29-2 | [12.7,11.5],[11.2,12.4],[14.4,10.4], [11.7,10.6] |
4 | 19-5-12-10 | [14.7,12.6],[15.3,14.1],[15.4,11.9],[13.0,13.9] |
5 | 25-23-30-3-26 | [13.6,11.6],[15.3,12.4],[12.8,13.4],[12.3,13.8],[15.1,13.3] |
6 | 6-28-20-8 | [12.2,11.3],[14.9,13.0],[13.7,11.3],[14.9,12.0] |
7 | 17-27-7-11-14-22 | [13.3,13.3],[12.3,14.4],[11.2,13.6],[13.5,11.5],[12.5,12.6], [12.4,11.3] |
租船 | 15-18 | — |
总成本/美元 | 4 735 125 |
Tab.7
Comparison of speed strategy(万美元)
航速策略 | 船舶 | 船舶调度计划 | 航行成本 | 港口成本 | 租船成本 | 总成本 |
---|---|---|---|---|---|---|
最大航速 | 1 | 25-30-9-2 | 227.17 | 187.06 | 207.92 | 622.15 |
2 | 27-7-3-10 | |||||
3 | 16-23-11-29 | |||||
4 | 1 | |||||
5 | 17-24-12-14-22-8 | |||||
6 | 19-5-28-26 | |||||
7 | 4-18-13-20 | |||||
租船 | 6-15-21 | |||||
固定航速 | 1 | 16-1 | 175.09 | 187.09 | 237.37 | 599.55 |
2 | 25-28-9-2 | |||||
3 | 30-20 | |||||
4 | 4-23-11-10 | |||||
5 | 17-27-12-14-22-8 | |||||
6 | 19-5-7-3-26 | |||||
7 | 24-13-29 | |||||
租船 | 6-15-18-21 | |||||
可变航速 | 1 | 16-1-20 | 154.54 | 185.34 | 237.37 | 577.25 |
2 | 25-30-14 | |||||
3 | 23-11 | |||||
4 | 4-7-10 | |||||
5 | 17-12-29-2 | |||||
6 | 19-5-27-13-3-26 | |||||
7 | 24-28-9-22-8 | |||||
租船 | 6-15-18-21 |
Tab.8
Sensitivity analysis of shipper satisfaction(万美元)
S(Tik) | 航行成本 | 港口成本 | 时间成本 | 租船成本 | 总成本 | 租船运输货物 |
---|---|---|---|---|---|---|
0.1 | 187.99 | 150.66 | 24.17 | 117.75 | 480.57 | 16,21 |
0.2 | 179.30 | 160.44 | 21.84 | 164.21 | 525.79 | 1,16,21 |
0.3 | 160.94 | 159.36 | 16.06 | 195.75 | 532.11 | 15,21,23 |
0.4 | 159.78 | 153.62 | 15.51 | 213.70 | 542.61 | 15,18,21,23 |
0.5 | 163.69 | 151.89 | 15.36 | 215.81 | 546.75 | 15,18,21,24 |
0.6 | 153.96 | 154.52 | 14.90 | 227.99 | 551.37 | 6,15,21,24 |
0.7 | 151.19 | 153.31 | 14.64 | 250.77 | 569.91 | 1,15,21,23,24 |
0.8 | 151.37 | 168.40 | 14.54 | 236.01 | 570.32 | 11,15,16,18,21 |
0.9 | 153.73 | 172.35 | 13.30 | 237.37 | 576.75 | 6,15,18,21 |
1.0 | 154.54 | 185.34 | — | 237.37 | 577.25 | 6,15,18,21 |
[1] | JETLUND A S, KARIMI I A. Improving the logistics of multi-compartment chemical tankers[J]. Computers and Chemical Engineering, 2004, 28: 1267-1283. |
[2] | FAGERHOLT K. Ship scheduling with soft time windows: An optimisation based approach[J]. European Journal of Operational Research, 2001, 131(3): 559-571. |
[3] | BRONMO G, CHRISTIANSEN M, FAGERHOLT K, et al. A multi-start local search heuristic for ship scheduling—A computational study[J]. Computers & Operations Research, 2007(34): 900-917. |
[4] | KORSVIK J E, FAGERHOLT K, LAPORTE G. A tabu search heuristic for ship routing and scheduling[J]. Journal of the Operational Research Society, 2010, 61(4): 594-603. |
[5] | FAGERHOLT K, HVATTUM L, TROND A, et al. Routing and scheduling in project shipping[J]. Annals of Operations Research, 2013, 207(1): 67-81. |
[6] | HEMMATI A, STALHANE M, HVATTUM L M. An effective heuristic for solving a combined cargo and inventory routing problem in tramp shipping. Computer Operation Research, 2015, 64: 274-282. |
[7] | ARMAS J, LALLA E, CHRISTOPHER E, et al. A hybrid GRASP-VNS for ship routing and scheduling problem with discretized time windows[J]. Engineering Applications of Artificial Intelligence, 2015, 45: 350-360. |
[8] | KORSVIK J E, FAGERHOLT K. A tabu search heuristic for ship routing and scheduling with flexible cargo quantities[J]. Journal of Heuristics, 2010, 16(2): 117-137. |
[9] | BRØNMO G, NYGREEN B, LYSGAARD J. Column generation approaches to ship scheduling with flexible cargo sizes[J]. European Journal of Operational Research, 2010, 8: 139-150. |
[10] | MENG Q, WANG S A, CHUNG-YEE L. A tailored branch-and-price approach for a joint tramp ship routing and bunkering problem[J]. Transportation Research Part B, 2015, 72: 1-19. |
[11] | LIN D Y, LIU H Y. Combined ship allocation, routing and freight assignment in tramp shipping[J]. Transportation Research Part E, 2011, 47: 414-431. |
[12] | YU B, PENG Z X, TIAN Z H, et al. Sailing speed optimization for tramp ships with fuzzy time window[J]. Flexible Services and Manufacturing Journal, 2019, 31: 308-330. |
[13] | THAI V, TAY W, TAN R, et al. Defining service quality in tramp shipping: Conceptual model and empirical evidence[J]. The Asian Journal of Shipping and Logistics, 2014, 30(1): 1-9. |
[14] | LEE C Y, LEE H L, ZHANG J. The impact of slow ocean steaming on delivery reliability and fuel consumption[J]. Transportation Research Part E, 2015, 76: 176-190. |
[15] | MAILLIDIS I, IAKOVOU EDEKKER R, et al. The impact of slow steaming on the carriers’ and shippers’ costs: The case of a global logistics network[J]. Transportation Research Part E, 2018, 111: 18-39. |
[16] | NORSTAD I, FAGERHOLT K, LAPORTE G. Tramp ship routing and scheduling with speed optimization[J]. Transportation Research Part C, 2011, 19: 853-865. |
[17] | HVATTUM L M, NORSTAD I, FAGERHOLT K, et al. Analysis of an exact algorithm for the vessel speed optimization problem[J]. Networks, 2013, 62 (2): 132-135. |
[18] | HARILAOS, PSARAFTIS, CHRISTOS. Ship speed optimization: Concepts, models and combined speed-routing scenarios[J]. Transportation Research Part C, 2014, 44: 52-69. |
[19] | FAGERHOLT K, LAPORTE G, NORSTAD I. Reducing fuel emissions by optimizing speed on shipping routes[J]. Journal of the Operational Research Society, 2010, 61: 523-529. |
[20] | 唐磊,谢新连. 带时间窗约束的不定期船航速优化模型[J].物流技术,2014, 33(03): 132-135. |
TANG Lei, XIE Xinlian. Study on irregular vessel velocity optimization model with time window constraint[J]. Logistics Technology, 2014, 33(03): 132-135. | |
[21] | 殷翔宇,张俊,谢新连. 不定期船最佳航速优化研究[J].中国航海,2012, 35(01): 94-97+118. |
YIN Xiangyu, ZHANG Jun, XIE Xinlian. Research on the optimal speed of tramp vessels[J]. Navigation of China, 2012, 35(01): 94-97+118. | |
[22] | 李铮,潘晓萌. 船舶航速优化算法研究[J].舰船科学技术,2016, 38(12): 7-9. |
LI Zheng, PAN Xiaomeng. Research on optimization algorithm of ship speed[J]. Ship Science and Technology, 2016, 38(12): 7-9. | |
[23] | WEN M, PACINO D, KONTOVAS, et al. A multiple ship routing and speed optimization problem under time, cost and environmental objectives[J]. Transportation Research Part D, 2017, 52: 303-321. |
[24] | WEN M, ROPKE S, PETERSEN H L, et al. Full-shipload tramp ship routing and scheduling with variable speeds[J]. Computers & Operations Research, 2016, 70: 1-8. |
[25] | 唐磊,谢新连,王成武. 基于集合划分的航速可变不定期船舶调度模型[J]. 上海交通大学学报,2013, 47(06): 909-915. |
TANG Lei, XIE Xinlian, WANG Chengwu. Model of tramp ship scheduling with variable speed based on set partition approach[J]. Journal of Shanghai Jiao Tong University, 2013, 47(06): 909-915. | |
[26] | 俞超,王志华,高鹏. 考虑速遣费和滞期费的不定期船航速优化研究[J]. 交通运输系统工程与信息,2018, 18(03): 195-201. |
YU Chao, WANG Zhihua, GAO Peng. Speed optimization considering dispatch and demurrage of the tramp shipping[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(03): 195-201. | |
[27] | 李晓君,谢新连. 重大件运输的货物分配与航速联合优化[J]. 西南交通大学学报,2015, 50(04): 747-754. |
LI Xiaojun, XIE Xinlian. Integrated optimization of cargo distribution and ship speed for heavy-cargo transportation[J]. Journal of Southwest Jiaotong University, 2015, 50(04): 747-754. | |
[28] | 中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会.GB/T 7187.1-2010: 运输船舶燃油消耗量.第 1 部分: 海洋船舶计算方法[S].北京: 中国标准出版社,2011. |
General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of China.GB/T 7187.1-2010: Fuel oil consumption for transportation ships. Part 1: Calculation method for marine ships [S]. Beijing: China Standard Press, 2011. | |
[29] | HEMMATI A, HVATTUM L M, NORSTAD I, et al. Benchmark suite for industrial and tramp ship routing and scheduling problems[J]. Information Systems and Operational Research, 2014, 52(01): 28-38. |
[30] | 中华人民共和国交通部港口收费规则(外贸部分)(修正).中华人民共和国交通部令第11号[S].北京: 交通运输部,2001. |
Rules of the Ministry of Transport of the People’s Republic of China on Port Charges (Foreign Trade section) (Amendment). Order of the Ministry of Transport of the People’s Republic of China No.11 [S]. Beijing: Ministry of Transport, 2001. |
[1] | TANG Lei1,XIE Xinlian1,WANG Chenwu2. Model of Tramp Ship Scheduling with Variable Speed Based on Set Partition Approach [J]. Journal of Shanghai Jiaotong University, 2013, 47(06): 909-915. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||