Mendesain Ulang Strategi Milk Run (Studi Kasus Pada Transportasi Logistik Rantai Dingin)

Penelitian ini dilakukan untuk mengetahui strategi apa yang harus dilakukan oleh pelaku usaha jasa logistik pihak ketiga yang bergerak dalam cold supply chain industri makanan cepat saji di Indonesia khususnya dalam menghadapi dinamika pertumbuhan ekonomi yang sangat pesat di daerah pinggiran kota, sehingga dapat berkontribusi pada industri rantai makanan di Indonesia, terutama untuk logistik pihak ketiga yang memiliki mitra rantai makanan global. Penelitian dilakukan dari tahun 2017 hingga 2020 dengan melakukan berbagai simulasi distribusi logistik di berbagai kondisi. Penelitian dilakukan dengan menggunakan pendekatan penelitian operasional matematis, di mana uji analisis kuantitatif akan difokuskan pada pendekatan manajemen operasional dengan memperhatikan variabel-variabel sebagai berikut: total jarak tempuh rute; kecepatan lalu lintas; jumlah titik perhentian yang akan dilayani pada rute milk run; lama waktu perjalanan; kapasitas kendaraan terhadap waktu tempuh dan jumlah pelayanan persinggahan; serta batas kapasitas kendaraan yang diperbolehkan pada trayek tertentu. Hasil penelitian menunjukkan bahwa untuk mengelola manajemen transportasi secara optimal, perusahaan harus mempersiapkan perhitungannya dengan baik dalam faktor beban, manajemen jarak tempuh dan waktu, dan pembatasan jalan untuk truk logistik, sehingga dapat melayani mitra rantai makanan mereka dengan baik.

The Application of Lean Methods in Corporate Sustainability—A Systematic Literature Review

This paper reviews the application of lean methods for corporate sustainability and highlights demands for future research. With the help of a systematic literature review, papers at the interface of lean and sustainability were identified and matched to a standardized list of lean methods to assess their frequency in the context of sustainability. In a further step, papers containing actual case studies were analyzed in more detail regarding specific application settings, sustainability dimensions, measurability of sustainability impact, and other criteria. The quantitative analysis of 363 publications shows frequent use of lean methods such as just in time and value stream mapping in the context of sustainability, and a surprisingly low use of other approaches such as karakuri, milk run, or chaku chaku. The in-depth analysis of 81 case studies reveals the primacy of intra-company and ecological assessments in the lean context, while social and inter-company aspects remain rather underexposed. This study complements existing research on lean and sustainability by systematically analyzing specific lean methods in the context of sustainability and by further exploring the sustainability characteristics of such lean applications.

Intuitionistic fuzzy multi-objective milk-run modelling under time window constraints

Milk-run is a delivery method allowing to move small quantities of a large number of different items with predictable lead times from various suppliers to a customer. The main goal is to minimize the transportation cost by minimizing the travel distance and by maximizing vehicle capacities. The effects of uncertainties in arrival times of vehicles and loading times of shipments should also be considered in modeling the milk-run problems. In this paper, a multi-objective linear programming model, an ordinary fuzzy multi-objective linear programming model and an intuitionistic fuzzy multi-objective linear programming model are proposed for the milk-run modeling under time window constraints. The proposed approaches are applied on the real-life data of Borusan Logistics which is the one of the largest logistics firms in Turkey and the results are presented.

UTILIZAÇÃO DO CICLO PDCA E APLICAÇÃO DO MILK RUN EM UM PROCESSO DE LOGÍSTICA REVERSA EM UMA INDÚSTRIA DE ALIMENTOS

A logística reversa vem se destacando dentro das organizações como uma estratégia empresarial, que além de apoiar-se em aspectos legais e socioambientais, procura a satisfação dos clientes. Assim, o presente estudo analisou a logística reversa em uma indústria do ramo alimentício objetivando gerar soluções práticas e viáveis para o problema de insatisfação dos principais clientes da organização, motivados pela ineficiência dos processos reversos. Para tanto, utilizou-se a metodologia PDCA como norteadora central na resolução do problema proposto, bem como a técnica milk run como ação principal do trabalho. Como resultados, obtém-se maior eficiência no processo de logística reversa, pautado em quatro principais indicadores: i) maior rapidez no retorno de mercadorias de devoluções por causa de uma consolidação de carga mais rápida devido a aplicação do milk run; ii) redução de custos de frete reverso na região Sul motivados pela negociação realizada pautando principalmente a centralização dos volumes em uma mesma transportadora; iii) aumento no nível de satisfação dos principais clientes da organização; iv) maior reaproveitamento dos produtos retornados devido a maior agilidade nesse processo reverso.

Optimization of the Milk-run route for inbound logistics of auto parts under low-carbon economy

Greenhouse gas emissions have brought serious negative impacts on human beings and organisms, so energy saving and emission reduction have been recognized by more and more people. Traditional Milk-run model seldom considers the factors of energy saving and emission reduction, and its routing optimization cannot meet the current needs of low-carbon economic development. On the basis of traditional Vehicle Routing Problem research, considering the fixed cost, time penalty cost, energy consumption cost and carbon emission cost of vehicles, the Milk-run model of distribution routing considering carbon emissions under time window constraints is studied. Then the improved ant colony algorithm is used to solve the constructed model. Finally, the order and related data of a company are used to verify the validity and practicality of the model and algorithm. Compared to the scanning method, the results show that not only the total journey distance has been shortened but also the total cost and cost of carbon emissions have been reduced. The optimization of distribution routing considering carbon emissions can reduce the distribution cost of logistics enterprises, respond to the call of low-carbon development in China and help to achieve a win-win situation of social and economic benefits.