圣为BPS——品牌包装解决方案

圣为通过整合行业内各种资源,利用自身对纸张应用的专业性和规模成本优势,向印刷包装行业的终端客户——品牌生产企业提供了集合纸张采购、包装设计、印刷、包装制作、质量监督、技术支持、物流运输等服务内容的整体包装解决方案,并且集团将整合自身优势资源为客户提供具有竞争力的高品质包装服务,免去企业在产品包装上的后顾之忧。通过我们提供专业、及时、高效的整体包装解决方案服务,提升合作品牌生产企业的品牌形象和品牌产品的附加值。     

在线包装平台“包小盒”获天使轮融资

正在线3D包装设计和印刷服务平台"包小盒"于近日完成数百万美元天使轮融资,由线性资本领投,家居领域Saa S企业酷家乐跟投。据创始人兼CEO王先锋介绍,本轮资金将主要用于产品开发、运营团队搭建,以及市场营销投入。包小盒定位在线包装设计工具和印刷电商服务平台,以包装设计工具为切入口,链接包装设计、营销、印刷产业生态。目标客户包括品牌方、消费品企业、设计公司、包装印刷产业企业及院校等,为企业用户和C端设计师提供更简单的在线包装设计解决方案和服务,已拥有10万名注册用户。     

包装印刷企业管理(续)

第二章经营管理包装印刷行业历来是以销完产品的经营型企业,所以工厂的生产计划完成情况如何,是以承接业务多少来决定的。所以企业的生产计划就是承接业务的目标和指标。第一节经营思想包装印刷企业是一个服务性企业,在经营思想上,既要为产品单位服务好,也要为消费者服务好,既有优质的服务,又有优质产品,才能兴旺发达,立于不败之地。所以说:质量(服务质量、产品质量、工作质量)、速度(工作速度、交货速度)是包装印刷企业经营思想的根本,也是企业取得较好经济效益的根本。     

绿色环保印刷的可持续发展道路

上海烟草包装印刷有限公司始建于1929年,是国内最早专业生产卷烟商标的印刷企业。2004年企业整体搬迁至浦东新区,新厂房占地面积118874m~2。上海烟草包装印刷有限公司长期以来重视环保理念,致力于绿色环保印刷和环保包装解决方案的研究,积极消除印刷中由于环保问题造成的危害,大力推进     

金融海啸会让过度包装消失吗

当金融海啸席卷全球市场时,过度的包装印刷制品就像马与车一样形影不离,那些为商品提供服务的包装印刷企业对各种原因提出了解释。包装印刷企业的理论是金钱好比包裹在商品外面的五颜六色的纸、塑、金属等包装,一旦钱包瘪了,人们就可以清楚地看到商品的实质。而一般消费者则说如今的消     

整合资源形成系统 精细管理突破瓶颈

<正>为全面落实上海烟草集团有限责任公司党组提出的"全面提升素质、着力创新驱动、率先转型发展"总体要求,全面落实"发展、改革、规范"的工作主线,努力实现"精心配套主业、服务品牌发展"企业定位,努力成为"成为烟标包装印刷解决方案提供者",保持企业持续健康和谐发展,烟印公司近年来坚持抓好创建一流工厂中的重点工作,即以"创新力"与"制造力"为重要抓手,以逐步提升烟标生产制造和包装设计研发两大核心竞争     

坚守品牌核心竞争力，力争开拓海内外市场——上海人民印刷八厂企业与产品介绍

正上海人民印刷八厂是上海包装造纸(集团)有限公司全资企业,始创于1932年,现位于上海市浦东新区东三里桥路888号,厂区占地面积32 000 m2,企业注册资金9 049万元,年销售收入约1亿元,是上海市高新技术、品牌、星级诚信企业,主要从事包装印刷产品的研发、生产和销售,致力于为食品、药品、烟酒、日用品、洗涤用品、化妆品、服装服饰、五金照明、家用电器、礼盒及外贸纸制产品为主的生产企业提供一体化的包装印刷解决方案。     

基于Kodak Insite的网络印刷模型研究

在了解网络印刷发展现状的基础上,以Kodak Insite网络印刷解决方案为样本,结合国内需求进行了深入的分析,并利用基于面向对象思想的用例建模技术分析,获取了网络印刷流程的需求分析模型;对典型的网络印刷服务方案进行了系统的分析总结。     

整合资源形成系统 精细管理突破瓶颈

为全面落实上海烟草集团有限责任公司党组提出的“全面提升素质、着力创新驱动、率先转型发展”总体要求，全面落实“发展、改革、规范”的工作主线，努力实现“精心配套主业、服务品牌发展”企业定位，努力成为“成为烟标包装印刷解决方案提供者”，保持企业持续健康和谐发展，烟印公司近年来坚持抓好创建一流工厂中的重点工作，即以“创新力”与“制造力”为重要抓手，以逐步提升烟标生产制造和包装设计研发两大核心竞争能力。     

2009上海国际印刷周

如今,包装行业正处于调整发展期。包装采购方与包装印刷企业互动发展是"包装印刷洽谈会"的宗旨。上海市包装技术协会受上海市新闻出版局委托,在上海新国际博览中心"2009上海国际印刷周"活动期间,组织了一场别开生面的包装印刷洽谈会,旨在搭建一     

Manufacturers’ coalition under a price elastic market – a quadratic production game approach

The paper addresses a supply network design problem in which a set of enterprises decides to organise itself as a multi-stage supply network by resource sharing and production coordination. A biform game theory formulation of the problem is obtained by combining the cooperative sub-game in the manufacturing network with the strategic sub-game of the Stackelberg type between the retailer and the manufacturers’ network. As a result of the interaction between these two sub-games, a new type of cooperative game, the quadratic production game, is formulated to describe the supply network design problem under anticipated price elastic demands from the market. The key problem of coalitional stability is addressed through the properties of rationality and fairness of the profit sharing agreement. We prove that the game is non-convex in general and thus, the fair solution given by the Shapley value allocation is not always rational. It is proposed to reinforce the coalition stability by selecting a minimal set of partner enterprises achieving the maximal expected profit and applying a profit sharing policy with guaranteed fairness restricted to the member enterprises.     

Dual problem formulation and its application to optimal redesign of an integrated production–distribution network with structure dynamics and ripple effect considerations

In this paper, a dual problem formulation is developed in order to solve a multi-objective, multi-period and multi-commodity production–distribution (re)planning problem for a multi-stage centralised upstream network with structure dynamics considerations. The original idea of this study is to use the real logic of decision-making in companies and exclude demand constraint from the linear programming (LP) model. This allows transit from the classical transportation problem, formulated as an LP model in order to improve service level at the strategic inventory holding point. The formulation as an LP model makes it possible to formulate the dual problem. The performed structural analysis revealed some interesting managerial insights into building robust distribution plans and interconnecting decisions on distribution network design, planning, and sourcing.     

以计划网络为基础的MRP算法研究及实现

针对复杂产品制造企业应用常规MRP算法编制的生产计划存在有效性差、调整频繁、重复计算量大等问题,提出了一种以计划网络为基础的MRP算法.该算法是在常规MRP算法的基础上,将运算产生的多级需求计划指令与生产实际安排建立关联关系,应用网络计划技术构建零组件计划网络,增强和扩展了MRP功能,提高了需求计划指令的有效性,并在原型系统开发中得到可行性验证.     

A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy

In recent years, economic globalisation and manufacturing resource globalisation as two key factors have driven enterprises to transform their business processes to survive in competitive environments. This transformation is challenging as manufacturing enterprises should maintain their support for their customers with high-quality products, lower cost, product customisation capabilities, and quick delivery. Moreover, globalisation has resulted in geographically distributed suppliers across the globe. This challenge will turn into a major research topic when paradigms like Cloud manufacturing are introduced. Cloud manufacturing is a new paradigm which provides ubiquitous, convenient, on-demand network access to a shared pool of configurable manufacturing resources. In this paper, to achieve the ideal goal of Cloud manufacturing, the concept of supplier network logistics planning and manufacturing service composition is focused. Every production task and logistics operation would be defined as a service considering operation process chart flows. The paper has proposed a mathematical model which selects an optimal set of manufacturing and logistics service composition in order to lower operation and logistics costs in operational perspective while fulfilling a novel idea for configured cloud entropy of logistics and operation suppliers. Finally, the paper has presented a numerical example and concluded the remarks, and outlined future research.     

采购与多层生产计划问题的协同优化

针对生产与采购这两项企业的重要活动,建立了一种采购计划和多层生产计划的集成优化模型,将采购计划、批量计划以及作业排序这三层计划问题进行综合决策。为求解该问题,设计了一种遗传算法和网络优化方法相结合的协同优化策略,遗传算法中每一个个体同时包含了批量计划和作业排序,并调用网络优化模型得出订购策略。数值仿真实验显示了提出的方法求解该类集成优化问题的良好性能。通过与独立优化方法进行比较,显示了协同优化策略的优越性。     

Domain-based production configuration with constraint satisfaction

Production configuration is well recognised as an effective means of planning production processes for product families. The major challenge of production configuration originates from the handling of the numerous constraints associated with product and process variety. This paper develops a constraint satisfaction approach to facilitate production configuration decisions regarding constraint identification, representation, and evaluation. A domain-based model is formulated to conceptualise the production configuration process, involving inter-connections among multiple domains in conjunction with diverse domain decision variables and constraints. Within the domain framework, production configuration is formulated as a constraint satisfaction problem (CSP), which is solved using constraint heuristic search. Within constraint heuristic search, a decision propagation structure incorporating a connectionist approach is developed to facilitate the exploration of solution spaces. A case study of textile spindle production configuration is elaborated to illustrate the feasibility and potential of the domain-based CSP model for production configuration.     

基于粗糙PSO-BP神经网络的冷链物流服务商选择研究

为帮助冷链食品生产企业快速选择最佳冷链物流服务商,在传统BP神经网络基础上融合粗糙集和粒子群算法,构建了粗糙PSO-BP神经网络模型。该模型利用粗糙集剔除原始数据中的冗余信息,使输入指标更加精简;采用粒子群算法代替梯度下降法对神经网络权重进行训练,使输出结果不易陷入局部极小值,增强网络泛化能力。通过算例验证该模型的有效性和可行性。结果表明,该模型在提高运算速度的同时,预测误差为BP神经网络模型的40.94%,预测结果更加准确可靠,为冷链食品生产企业快速选择最佳冷链物流服务商提供一种新的方法指导。     

模块化生产在复杂系统制造过程的运用研究

基于复杂系统制造过程对完善生产资料准备、缩短制造周期、增强生产计划控制力、提升高端制造业发展水平的迫切要求,根据模块化理论、制造工艺、项目管理、最优化理论等方法,构建复杂系统制造模块顺序网络图,并建立求解制造周期的整数规划模型,最后举出实例,运用优化求解软件CPLEX得出整个系统制造周期及对应的关键制造路径,运用求解结果制定生产资料准备计划及生产计划,发现模块化技术实行后,生产计划及生产资料准备计划实现最大并行化开展,且生产资料准备先于生产计划开展前完成,整个系统制造周期大大缩短,验证了模型的有效性、准确性和优越性。     

基于OPT的生产作业计划与控制系统设计

建立符合我国企业实际情况的生产作业计划与控制系统是我国企业现代化改造和适应新的生产方式的主要问题之一。论述了建立生产作业计划与控制系统模型的基本方法,以最优化生产技术（ＯＰＴ）的基本原理为基础,结合我国企业的实际情况,对现代制造系统生产作业计划与控制系统的编制方法进行了探讨和开发应用。     

基于“全面覆盖”的电力企业技术标准规划方法初探

实施设备技术标准规划对于促进标准的全面覆盖、有序衔接、保障安全生产具有重要意义,同时也是标准化工作改革的客观要求。在此背景下,本文在全面剖析设备技术标准存在问题和技术标准规划编制难点的基础上,明确规划编制边界条件,研究提炼技术标准类型,优化形成设备品类,基于“总量-存量=增量”理论首次提出了一种适用于电力企业设备技术标准的规划方法,并运用该方法完成了企业设备技术标准的规划实例编制。研究结果对企业实施设备技术标准规划、提升技术标准编制质量等具有全面的指导意义。