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Abstrak :
Permasalahan yang diangkat dalam penelitian iui adalah permasalahan dalam menghasilkan rute maupun jadwal dari sebuah kendaraan angkut yang meminimalkan emisi bahan bakar dalam sebuah jaringan yang terdiri atas pelanggan danjalanan yang menghunbungkan satu pelanggan dengan yang lain, di mana tipe dari kendaraan angkut divariasikan dan jendela waktu diketatkan. Di dalam model yang dirancang, rute dari setiap kendaraan akan dikonstruksi. Rute dari kendaraan sendiri bergantung pada jenis kendaraan, besarnya muartan, dan batasan-batasan waktu yang diciptakan dalam setiap rute. Hasil akhirnya adalah rute dengan total emisi bahan bakar minimum, dalam hal ini dihitung berdasarkan gas karbon dioksida. Metode yang digunakan adalah metode pendekatan algoritma pencarian tabu. Metode ini akan diuji berdasarkan data permintaan sebuah supermarket di London. Pencarian didasarkan atas besarnya emisi dari setiap keputusan. Hasil kemudian dianalisa untuk menunjukkan berapa besar perubahan emisi yang tercipta dengan menggunakan pendekatan ini. Dan kemudian diterjemahkan menjadi sekumpulan rute yang dijalankan.

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The problem considered in this thesis is to construct routes and schedule of fleets that minimize the emission of a network that consists of coustomers and arcs connecting them each other, while varying the type of fleets and tightening the time windows. In the constructed model, the route of each fleet will be produced and treated as decision variable. The routes themselves depend on the capacity of each vehicle type and time windows constraints on each route. The objective is to construct routes with minimum emission, COzeq in this context. Tabu Search algorithm is used to construct the route. This algorithm then is tested with real data demand of a market in London. The result of the search then is used to analyze the difference created by tabo algorithm and translated into a group of routes to be used.

Abstrak :
Transportation, as a part of the supply chain process, contributes to carbon emission which leads to climate change and global warming. This environmental issue gives an impact to decisions regarding the supply chain of a company. One way to deal with this issue is by analyzing their vehicle routing problem. In this study, the issue about routing problems in green supply chain by considering the heterogeneous fleet is being discussed. One variant of Green Vehicle Routing Problem (GVRP) reviewed in this paper is about Heterogeneous Alternative Fuel Vehicles for Green Vehicle Routing Problem (HAFVGVRP). The purpose of this study is to review the development of GVRP with heterogeneous alternative fuel vehicles and the gap or state-of-the-art on existing researches. The review was classified according to the objectives, type of fleet, and solution used. Moreover, this study also presents the trend and direction of further research.