Research of the Green Logistics for Recycling Cell Phone in Guangzhou
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Research of the Green Logistics for Recycling Cell Phone in Guangzhou
Research of the Green Logistics for Recycling Cell Phone in Guangzhou Yangjianhui Panhong School of business administration, South China University of technology, P.R.China, 510640 Abstract With the improvement of the environmental sustainable development, the green logistics holds more and more important position. This paper introduces the birth and driving force of cellphone green logistics (CPGL) firstly. According to the particularity of the geographical position, economic status and the characteristics of electronics’ high expansion of Guangzhou, a mixed integer programming model is given to analyze the CPGL of Guangzhou, which is solved by Lingo7.0. As a result of this study, it is certain that CPGL brings both economic benefits and social performance in the cellphone fields of Guangzhou. To expand the conclusion, it is obvious that GL is fit for other electronic fields or even other industries. At last, operational strategies and network structures are coupled with the model, which bring forward a future research framework. Key words reverse logistics, environmental logistics, LP model, performance analysis 1 Introduction As the economic globalization and E-commerce, people pay more attention to the relationships among mankind, environment and resources. Especially on the logistics field, traditional logistics is transformed into supply chain management (SCM), and developed a new research direction — green logistics. The GL refers to a kind of green economic management activity course which connects green supply subject with green demand subject to satisfy customers, and also a effective, fast green goods and service which overcomes hindrance in space and time flow[1]. Different from the GL, the RL is def- ined as the process of planning, implementing, and controlling the efficiency, cost effective flow of raw materials, in-process inventory, finished goods and related information from the point of consumption to the point of origin for the purpose of recapturing value or proper disposal [2]. From both definitions, it is obvious that RL doesn’t consider the environmental performances but only pursues financial pro- fits. On the contrary, the GL not only reflects RL in substance, but also elevates it environmentally. At present, Taiwan, American and Europe are accomplished in the GL. They utilize a multi-stages and multi-types mixed integer programming model which is based on the minimum cost goal, but our country has few research methods or mathematics models[4][6]. This paper studies the CPGL in Guangzhou according to the particularity of the geographical position, economic status and the characteristics of electronics’ high expansion of Guangzhou. 2 The birth and driving force of CPGL CPGL is a cycling logistics composed of three processes--from manufacture to distribution, from use to reclaim and from reproduction to resale. It starts with sustainable development theories, ecologyical economics theories, the ecological ethics theories, and relies on the green marketing measures and logistics performance analysis. CPGL combined with the difficulties of cheap resource and conflicts between supply and demand will build an environmental recycling logistics. The driving force of GL includes two aspects: (1) the exterior driving force is regulations imposed by government. When a pollution accident occurred in Guiyu town in 2004, China Electronics Engineering Design Institute and Development and Reform Commission made the government set up the first special waste electronic treatment plant and issue several regulations. (2) The interior driving force is the economic interests. CPGL enterprises are apt to obtain authentication like ISO14000 Environment Management, which helps break the green barrier and create favorable precondition for national increase in GDP. With the improvement of people's living standard, the demand of the cell-phone increases yearly. According to the report of China Statistics 2005.2, output of last year in our country reached to 245876 thousand pieces and the increasing ratio 29.1%. A survey issued by Advisory Organization of China Te- 202 lecom indicates there are 760 patterns in the market, but lifecycle of the most is only half a year. Guangzhou is regarded as the foreland of Reform and Opening-up, where the percentage of high income people is large and increases fast. Presently, CPGL in Guangzhou is only focused on the callback of batteries, not extended to the recycle. From this status, CPGL should be implemented from rich user to poor user to reach the second-hand profits. As it relieves pressure for environment, it brings new economic increasing point for the future development. 3 The mathematics model analysis of CPEL in Guangzhou The analysis models of CPEL include LP method and systematic emulation. However, the former is more general, which is based on the LP and software. This proposed model attempts to maximal the total profits. The total income is from sale and resale, and the total outcome includes transportation cost, operating cost, fixed cost and landfill cost[5]. Constraints are composed of Flow conservation, facility capacity, a number limit for new facilities and non-negative constraints. To facilitate model formulation, six assumptions are postulated: (1) Reconstruct 4 collecting/disassembly plants based on the original logistics network according to the latest zoning map of Guangzhou: Liwan, Yuexiu, Haizhu and Tianhe four districts set up one in Yuexiu District; Baiyun and Huadu, Huangpu and Luogang, Panyu and Nansha separately set up one, ignoring the reconstruction expense. (2) Consider 4 reproducing plants similar to the former division, and account the fixed costs. (3) Consider 3 redistribution plants in Tianhe, Baiyun and Panyu in the model of strategic alliance, ignoring the fixed cost and operating cost. (4) Set up a landfill plant in Baiyun District. Capacity is 200t a year and unit cost is 5000 Yuan/t. (5) Suppose that the quantity of waste is related to the amount of productions, and the quantity from each district is compared with consumer's quantity. (6) Good condition proportion of retrieving is 0. 3. Scrapping rate of disassembly plant is 0. 1. Scrapping rate of reproducing factory is: 0. 3. Objective function: 4 4 4 4 4 4 MAX Z = Dr × LR − (∑ Ds × LS + ∑ Fp × Ip + ∑ Os × LS + ∑ Op × LP + ∑∑ C1× X 1 1 4 3 1 4 1 4 1 4 1 1 3 + ∑∑ C 2 × X 2 + ∑ C 3 × X 3 + ∑ C 4 × X 4 + ∑∑ C 5 × X 5 + DW × LW ) 1 1 1 1 1 1 Constraints: (1) Flow conservation Collecting/disassembly plant’s flow conservation constraint: LS (i ) = X 1(i ,1) + X 1(i , 2) + X 1(i ,3) + X 1(i, 4) + X 3(i,1) + X 5(i,1) + X 5(i, 2) + X 5(i, 3) Reproducing plant’s flow conservation constraint: LP (i ) = X 1(1, i ) + X 1(2, i ) + X 1(3, i ) + X 1(4, i ) Redistribution plant’s flow conservation constraint: LR ( j ) = X 2(1, j ) + X 2(2, j ) + X 2(3, j ) + X 2(4, j ) + X 5(1, j ) + X 5(2, j ) + X 5(3, j ) + X 5(4, j ) Landfill plant’s flow conservation constraint: LW = X 4(1,1) + X 4(2,1) + X 4(3,1) + X 4(4,1) + X 3(1,1) + X 3(2,1) + X 3(3,1) + X 3(4,1) (2) Utilization ratio of the wasted product The balance of proportion in good condition of retrieving: 0.3LS (i ) = X 5(i,1) + X 5(i, 2) + X 5(i ,3) The balance of scrapping rate of reclaiming center: 0.1LS (i ) = X 3(i ,1) The balance of scrapping rate of reproducing factory: 0.3LP (i ) = X 4(i ,1) (3) Capacity constraints: The capacity of collecting plant: LS (i ) ≤ Sss (i ) The capacity of reproducing plant: X 1(i,1) + X 1(i, 2) + X 1(i, 3) + X 1(i, 3) ≤ Sps(i ) × I P (i ) The capacity of redistribution plant: 203 X 2(1, i ) + X 2(2, i ) + X 2(3, i ) + X 2(4, i ) + X 5(1, i ) + X 5(2, i ) + X 5(3, i ) + X 5(4, i) ≤ Srs(i ) × Ir (i ) The capacity of landfill plant: LW ≤ Sws (4) Non-negative decision variables. 0/1 integer variables: I P and I R . The variables and parameters shown in the proposed model are summarized as follows: s, p, r, w: subscript for collecting plant, recycling plant, redistribution plant and landfill plant Ls, Lp, Lr, Lw: subscript for the workload of each plant X1(s,p), X2(p,r), X3(s,w),X4(p,w), X5(s,r): subscript for transportation amount C1, C2, C3, C4, C5: subscript for the unit transportation cost, 2yuan/km Os, Op, Fp: subscript for the operating cost of collecting and reproducing plant, and the fixed cost of recycling plant Ip, Ir: subscript for 0:1 variable for selection of recycling and redistribution plant Sss, Sps, Srs, Sws: subscript for the capacity of each center Ds, Dr, Dw: subscript for unit reclaiming cost, unit resale price and unit treatment cost Parameter estimates: : Table 1 the collecting amount(ton) Total population Collecting amount Region No Guangzhou Conversion weight 577.76(104pieces) 529(104pieces) 529(104ton) 1 LYHT Four districts 319 292.08 292.08 2 BH Two districts 131 119.94 119.94 3 HL Two districts 33.64 4 PN Two districts 94.12 30.80 86.18 30.80 86.18 : Table 2 the related datasheet of collecting plants, reproducing plants, resale plants and landfill plant 1 2 3 4 The capacity of reclaiming center 200(ton/year) The operating cost 1(104yuan/y) 150 100 200 0.9 0.95 0.8 180 150 180 The capacity of reproducing factory 200(ton/year) The fixed cost of reproducing factory 4 50(10 yuan) 47 40 38 The operating cost 1(104yuan/y) 0.9 0.95 0.8 The unit cost of reclaim 200(104yuan/ton) Baiyun district The capacity of resale center 180(ton/year) Selling unit price 4 600(10 yuan/ton) 180 175 Panyu district 170 Tianhe district 250 180 500 450 : Table 4 the transportation distance between plants(km) 1 2 3 4 1 — 2.67 2.1 2.94 2 2.67 — 3.29 3.57 3 2.1 3.57 — 3.73 4 2.94 3.29 3.73 — Baiyun district 1.86 — 1.99 4.82 Panyu district 3.12 5.63 3.93 — Tianhe district — 2.12 1.34 3.38 204 Tianhe district — Baiyun district Panyu district 4.84 : Tianhe district 1.41 Table 5 the main variable table circulated by Lingo7.0 Max z=106845.9 104yuan/year Ls(1)=292.08 Lp(1)=200 Ip(1)=0 Lr(1)=180 Ls(2)=119.94 Lp(2)=0 Ip(2)=1 Lr(2)=113.26 Ls(3)=30.80 Lp(3)=117.4 Ip(3)=0 Lr(3)=87.62 Ls(4)=86.18 Lp(4)=0 Ip(4)=1 Lw=148.12 X1(1,1)=200 X2(2,1)=47.15 X3(1,1,)=29.21 X4(1,1)=60 X1(3,3)=117.4 X2(4,2)=175.03 X3(2,1)=11.99 X4(3,1)=35.22 X3(3,1)=3.08 X3(4,1)=8.62 ( ) Ir(1)=1 Ir(2)=1 Ir(3)=1 X5(1,3)=87.62 X5(2,1)=35.98 X5(3,1)=9.24 X5(4,2)=25.85 4. The economic profits of CPGL in Guangzhou From the optimization result, two reproducing factories are set up in Baihua Two discrict and Pannan Two district, and three redistribution plants in Baiyun district, Panyu district and Tianhe district. This operational method will bring 106, 845,9 thousand Yuan. Carry on economic sensitivity analysis for this model: reproducing and resale amount bring to higher profits through fig. 1 and fig. 2. From fig. 3 and fig. 4, the key factors caused profit sharply reduction are the unbalanced transportation and scrap rate of the waste. The capacity of reproducing factory(3), resale center(2) and treatment plant is superfluous from other dual price analysis, thus if EL system is set up based on present collecting amount, it is wise to shrink the size of corresponding plants so as to reduce the cost. 5 The social performance analysis of GL CPGL brings great benefits for Guangzhou from the economic analysis of this model. The GL, as a brand-new conception, not only creates the value of economic entity, but also brings invisible concept value to enterprise and society. They are: (1) GL promotes the manufacturers to go to the foreland of sustainable development, helping them build good image. (2) GL impels enterprises to improve custommer satisfaction from the angle of serving so as to gain public trust. (3) CPGL safeguards the ecological balance, and curries out green marketing for the rare resource. (4) As the important link between enterprises and consumers, GL helps consumers strengthen environmental consciousness. (5) As the important component of GDP, GL improves competitive ability of a city and even a country[2]. 349 0 0 0 0 1 : t i n u 348.5 p(1), 348.85 700 p(3), 348.1 n 348 a u347.5 y 347 346.5 p(2), 347.69 p(4), 347.02 0 0 0 0 1 : t i n u 500 n a 400 u y 300 r(1), 600 r(2), 500 200 100 346 Fig. 1 Impact of 600 0 reproducing unit increment on gross profit Fig. 2 Impact of resale unit increment on gross profit 205 r(3), 450 100 0 0 0 0 1 : t i n u w , -0.5 0 -100 n a-200 u y -300 s, -348.096 r, 0 -400 -500 0 0 0 0 1 : t i n u p, -500 -600 Fig. 3 Impact of unbalance transportation on gross profit n a u y -145 -146 -147 -148 -149 -150 -151 -152 -153 s(1)+p(1) -148.184 s(2)+p(2) -151.904 s(3)+p(3) -147.924 s(4)+p(4) -151.904 Fig. 4 Impact of utilization ratio on gross profit 6. Conclusion This study gives a CPGL model of Guangzhou, which can expand to other electronic fields or even other industries from the economic and social aspects. But how to choose developing strategy models and specify it from the network flows? The newly arisen GL, which is based on the RL in essence, has higher strategic position and emphasizes the cooperative ability. So 4PL model, composed of 3PL, the technological enterprise of the logistics and logistics consulting enterprises, will be put into practice in order to program the whole society. The network of GL is the process of creating profits, which will reflect the advanced effect of dynamic alliance through the economic link between inner plants. So developing strategy models and network flow will bring GL a future research framework[3]. References [1] Fanting Zeng, Jiao Sun. Simple explanation of reverse logistics—the comparison among reverse logistics, logistics and green logistics[J]. Logistics Technology, 2003.10,P34-39 [2] Yue Pan, Xisheng Sima. Reverse logistics and performance appraising [J]. Market Modernization, 2005.8,P56-59 [3] Wenjing Xu. Strategical planning and mode of Logistics. Beijing: China Machine Press, 2002,P132-136 [4] Li-Hsing Shih. Reverse logistics system planning for recycling electrical appliances and computers in Taiwan [J]. Resources, Conservation and Recycling 32 (2001) 55–72, [5] Wenjing Xu. Logistics strategical planning and models [J]. Beijing: Chemical Industry Press,2005,P112-115 [6] Tung-Lai Hu a, Jiuh-Biing Sheu b, Kuan-Hsiung Huang. A reverse logistics cost minimization model for the treatment of hazardous wastes[J]. Transportation Research Part E 38 (2002) 457–473 206